Remote Sensing

INTRODUCTION Agriculture is one of the world’s most important industries, providing food and fiber for billions of people. However, it is also one of the most challenging, due to the variability of weather, pests, and diseases. In recent years, there has been a growing interest in using artificial intelligence (AI) and machine learning (ML) to improve agricultural productivity. This is where Farmonaut uses AI and ML to monitor large and small scale farms. The company’s platform provides businesses with a variety of insights, including crop health, soil moisture, irrigation efficiency, evapotranspiration soil organic carbon and also provides different services such as crop area and yield estimation, radar data weather forecasting , land Use classification and plantation management FARMONAUT’S SATELLITE BASED CROP HEALTH MONITORING Farmonaut employs satellite-based crop health monitoring and utilizes remote sensing technology to gather crop data from space. This valuable information offers farmers and agricultural experts essential insights into crop growth, development, and overall health. COMPREHEND THE OPERATIONAL FEATURES Satellite-based crop health monitoring operates through a series of well-defined steps. Initially, advanced sensors on orbiting satellites capture imagery in both visible and infrared spectra, detecting variations in light reflectance that signify changes in vegetation health and crop parameters. Subsequently, Farmonaut’s system automatically processes and analyzes the satellite data using diverse algorithms and models. By integrating this information with weather data and soil samples, a comprehensive assessment of crop health and growth is obtained. The outcomes are presented to farmers and agricultural experts in visually appealing formats, including maps and other visualizations that highlight areas requiring attention or intervention. Additionally, Farmonaut offers easily downloadable reports available in over 50 languages. This valuable information guides decisions on irrigation, fertilization, pest control, and other aspects of crop management, ultimately leading to enhanced crop yield and improved quality. With the help Farmonaut, farmers have the flexibility to choose their fields and detect any areas with abnormal crop growth. Upon identifying such regions, farmers can visit the specific parts of their fields to assess the situation. If the issue has not yet manifested, farmers can proactively apply preventive measures like additional fertilizers or plant growth regulators. In case the problem has already emerged, they can seek assistance from Farmonaut’s crop issue identification system, which offers real-time government-approved remedies. To aid farmers in this process, our system presents two distinct sets of images. The first set of images provides insights into the crop health during the early stages of growth, while the second set focuses on the crop health in the later stages of growth. This targeted approach enables farmers to make well-informed decisions and take timely actions to safeguard their crops effectively. Farmonaut® Satellite Based Crop Health Monitoring – Explanatory Video https://www.youtube.com/watch?v=HlC9Nb12fMA Through the implementation of an automated crop monitoring service, farmers will receive regular crop health reports and vegetation water level reports derived from the most recent satellite imagery at intervals of 5 to 10 days. Additionally, they will be kept informed with near real-time weather updates relevant to their specific fields, sourced from the nearest weather station. Farmers have the convenience of monitoring multiple fields by including them in their profile. To ensure the technology’s efficacy for farmers, the satellite imagery is refreshed every 5 to 10 days, offering a resolution of 10 meters. For this service to be beneficial, a minimum land area of 2 hectares needs to be monitored. To put it in a nutshell, Farmonaut’s AI/ML satellite-based large-scale farm and small-scale farm monitoring represent a transformative force in modern agriculture. By utilizing the potential of advanced technologies, the company is empowering farmers to embrace data-driven decision-making, optimize resource utilization, and adopt sustainable practices. As the agricultural sector continues to evolve, businesses that make use of Farmonaut’s innovative solutions are poised to gain a competitive edge, reaping the benefits of enhanced productivity and profitability.

Floods are one of the most ubiquitous and pernicious natural calamities. They can wreak havoc on property and infrastructure, and even result in fatalities. In recent years, there has been a burgeoning interest in the use of AI. So the quest is Can AI/ML satellite technologies identify early indicators of floods and enhance flood management strategies? Let’s Find out ! Understanding AI/ML Satellites Systems AI/ML satellites are those systems that uses AI/ ML models to process and analyze data. This data can include images, videos, and other types of sensor data that can use this data to perform a variety of tasks. AI/ML  satellites systems integrate algorithms with advanced remote sensing capabilities, enabling them to analyze vast amounts of data collected from Earth’s surface. These satellites can process and interpret this data in real-time, providing valuable insights and actionable information.   How Farmonaut AI/ML satellite technologies can help? Farmonaut visualizes the capabilities of these satellite technologies in detecting early signs of floods in a number of ways. First, they can be used to monitor changes in land cover and vegetation. These changes can be an early warning sign of flooding, as they can indicate that the ground is becoming saturated with water. Second, Farmonaut system can be used to measure changes in water levels. This information can be used to track the progress of a flood and to predict when it is likely to reach a critical level. In addition to detecting early signs of floods, the satellite technologies can also be used to improve flood management strategies. For example, Farmonaut platform can be used to analyze satellite data to identify areas that are at risk of flooding. This information can be used to develop targeted flood mitigation strategies. Remote sensing data can also be used to optimize the allocation of resources during flood response operations. For example, this data can be used to identify areas that need to be evacuated, and to track the progress of rescue and relief efforts. What Farmonaut Brings Forth ? Farmonaut’s Satellite-based crop health monitoring primarily uses remote sensing technology to collect data on the health and condition of crops from space, providing individuals and organizations with valuable insights into the growth, development, and health of crops. Contemplating the early detection of floods, Farmonaut envisions a possibility to mitigate the occurrence of such unlikely natural disasters with the optimization of satellite data. Following are some of the perks of using Farmonaut’s remote sensing data for early detection of floods: Monitoring changes in land cover : Farmonaut uses highly efficient satellite imagery to monitor changes in land cover and vegetation. This data can be used to identify areas that are at risk of flooding, as well as to track the progress of a flood. Measuring changes in water levels: Farmonaut also uses high resolution satellite imagery to measure changes in water levels. This data can be used to track the progress of a flood and to predict when it is likely to reach a critical level. Provide insights into flood risk: Farmonaut can use its satellite data to provide insights into flood risk, such as the areas that are most likely to flood and the factors that contribute to flooding. This information can be used to develop targeted flood mitigation strategies. Optimizing the allocation of resources during flood response operations: Farmonaut’s data can also be used to optimize the allocation of resources during flood response operations. For example, Farmonaut’s data can be used to identify areas that need to be evacuated, and to track the progress of rescue and relief efforts. How Does Farmonaut Makes It Possible ? Farmonaut’s web app allows continuous monitoring of an area in case of unlikely events. The ‘Farm mapping’ option in the application permits the flood prone areas to be mapped and constantly receive insights about those regions. For example, if an individual is using Farmonaut to monitor their farm for flooding, they might see that the water levels in a nearby river are rising rapidly. This would be an indication that the region is at risk of flooding. In this way, people could then take steps to protect their crops and livestock, such as moving them to higher ground or evacuating them from the area. Further, the option ‘Request Historical Satellite Data’ under Map Controls section which lays the opportunity to acquire data of any previous dates. In addition the ‘ Compare Images’ option in the Map Controls provides the images of two different dates and allows you to analyze the overall difference between both.  This option was used by Farmonaut in analyzing the various in the land cover and rise in water level during the 2023 North Indian floods.  Find below the differences between the satellite images of the Manali region before and after the floods in July 2023. Farmonaut’s Case Study : Cyclone Fani , May 2019 In May 2019, Farmonaut conducted a study on the Cyclone Fani, which inflicted severe damage on several east coast states of India, causing significant damage to the Balukhand-Konark Wildlife Sanctuary in Odisha. The impact of the cyclone resulted in the complete devastation of vegetation in the area. Additionally, the cyclone’s aftermath led to the disappearance of over 4000 spotted deer. In response to this disaster, a comprehensive analysis was conducted to explore the practicality of utilizing remote sensing techniques to optimize rescue efforts during such calamities.  Therefore,  the AI/ML systems hold immense potential in transforming flood detection and management strategies. Farmonaut’s remote sensing data services play a crucial role in providing accurate and timely information, empowering authorities and communities to make informed decisions and take proactive measures against floods. We are committed to working with our customers to help them to use these technologies to save lives and property.

Farmonaut’s Satellite based Crop Monitoring: Optimizes farming with satellite data insights Farmonaut’s satellite-based crop monitoring employs remote sensing data for real-time insights on crop health and growth. This precision farming approach optimizes resource usage detects early stress and diseases enables informed decisions to boost productivity Start Now Unique Proposition We provide you with real-time crop health monitoring for early detection of issues. Coverage Our satellite gives high resolution imagery upto 10m resolution. Optimizes Our technology will optimize your way of farming and save your resources up to 10-30%. Crop Health Monitoring to enhance yield: Farmonaut’s satellite-based crop monitoring offers real-time insights into crop health, allowing businesses to detect potential issues at an early stage. Through instant alerts and data analysis, farmers can identify signs of stress, diseases, or nutrient deficiencies. Early detection enables prompt action, preventing further damage and increasing overall yields. By closely monitoring their crops’ health, farmers can respond quickly to changing conditions and implement targeted interventions to ensure optimal growth and productivity. Saves 10-35% on crop losses For Precision farming and resource optimization to boost yields and reduce costs: Precision farming is revolutionizing agriculture, and Farmonaut’s satellite-based monitoring plays a crucial role in optimizing resource usage. By analyzing remote sensing data, the app provides detailed information on crop health variability across the field. Armed with this knowledge, farmers can make informed decisions on resource allocation, applying water, fertilizers, and pesticides precisely where and when needed. This targeted approach minimizes resource wastage, reduces operational costs, and maximizes yields, ultimately leading to more sustainable and profitable farming practices. Saves 10-25% on farm inputs For Data-Driven Insights & Remote Accessibility: Farmonaut’s app provides powerful data-driven insights for informed decision-making in modern agriculture. By analyzing historical crop performance data and satellite imagery, farmers can identify trends and make strategic choices on crop selection, rotation, and farming practices. Additionally, the app offers remote accessibility, allowing farmers to access real-time data and updates from anywhere via web and mobile platforms. This flexibility enables timely responses to critical situations and ensures constant monitoring for successful outcomes. 10 Million+ hectares successfully monitoring 160,000+ farmers benefited 11 Countries Covered 700,000+ API hits in 1 Month [email protected]      |      farmonaut.com        |      +91-6366026267

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

Knowing the condition of your crop irrigation is crucial to avoid degradation in crop health. Through remote sensing knowing the water content and moisture content is possible. The data can indicate the area which has low, high or medium water content, moisture content and evapotranspiration rate. Different parameters provided by Farmonaut Due to the above mentioned importance of irritation data, farmers should be aware of it for better production. Hence, Farmonaut has provided this data to farmers to know the condition of their crops and take necessary irrigation practices to avoid the drying of crops. Farmonaut provides the irrigation parameter data on the web app as well as mobile app. The different irrigation parameters provided by Farmonaut are as follows: NDWI (Normalized Difference Water Index) NDWI is an index which states the plant water content that can help us control irrigation, significantly improving agriculture, especially in areas where meeting the need for water is difficult. The high NDWI values correspond to high plant water content and coating of high plant fraction, whereas the low NDWI values correspond to low vegetation content and cover with low vegetation. NDWI rate will decrease during periods of water stress. NDMI (Normalized Difference Moisture Index) NDMI states the moisture content in the soil which helps in monitoring the drought condition of the areas. The kind of vegetation must be taken into account to further know the amount of water to use at particular growth stages of crops. Evapotranspiration Evapotranspiration is the loss of water from the soil surface as well as from the plants. It measures the rate at which evaporation and transpiration occurs at multiple locations on the farm. Through evapotranspiration one can easily schedule the irrigation based on the indicators received by the data. Nevertheless, it can be ignored if NDWI and NDMI data result in a good condition. How to access data? Step 1: Login to your account on the Farmonaut application. Step 2: Select the field You want to get data for. Step 3: In the Mobile application, Go to the settings -→ In the controls tab select the NDWI / NDMI / Evapotranspiration -→ Click Show on Field In Web application, click on NDWI / NDMI / Evapotranspiration button provided on the left side. The satellite images will be shown on map. Step 4: Interpret the data by the analysis scale provided and take action as per the following outcomes. Interpretation of data using all parameters: Parameters Condition Action to be taken NDWI NDMI Evapotranspiration High High Low No irrigation would be required. The corp condition would be good until the next satellite visit. NDWI NDMI Evapotranspiration High High High Requires frequent irrigation Due to high evapotranspiration rate, the water reduces over time hence requires irrigation frequently NDWI NDMI Evapotranspiration Low Low Low / High Irrigation is highly needed Water content in plants and soil is reduced hence irrigation must be done irrespective of Evapotranspiration. NDWI NDMI Evapotranspiration Low High High / Low Examine the issue on the field. It indicates that plants aren’t receiving water hence the water uptake in plants is low. NDWI NDMI Evapotranspiration High Low High / Low Water content in soil must be maintained Not enough water content in soil can result in drying of plants or can cause some other issues until the next satellite visit.

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s

INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed information/reports to farmers regarding soil data, vegetation cover indicators which are necessary for increasing productivity.” The platform works on API between the Zr3i and Farmonaut (as a service provider). Hence, the developed platform majorly depends on Farmonaut Technologies. PROBLEMS FACED IN AGRICULTURE SECTOR Farmers face many problems during each stage of farming, from cultivation to harvesting. Being unaware of various weather parameters and soil parameters that affect the quality and quantity of production and decreases profit. Due to the use of traditional methods problems mainly faced are: Water Stress, Carbon level and usage of chemicals. HOW DOES ZR3I WORKS? Zr3i helps the user in providing relevant important services which would be helpful to get rid of all the problems faced during farming operations. It provides crop health analytics, weather data analytics and reports in more than 50+ languages including Arabic. Detailed Reports includes The Farmonaut helps the user of Zr3i to have detailed reports of the farm that are created by their system directly. Everytime a user visits, the system creates a detailed report which helps the farm owner to monitor all activities going on in his/her farm. The reports are generated with the help of satellite images which helps to determine the crop health and weather conditions of the farm. The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. Yellow: crops that need attention. Red: Barren land. Through this color, farmers can easily open GPS and track their field using the images. The images can also be provided in the two color coding based on the height of the vegetation: Colormap 1: It is used for vegetation attending normal height. Colormap 2: It is used for vegetation having 2-3 inches height. Zr3i also provides the NDVI images, EVI images, SAVI images and AVI images that helps in the early growth stages of crops. Whereas, NDRE images are useful in the later stage of crop growth. The images helps as per following: NDVI (Normalised difference vegetative index): NDVI images help to differentiate the bare soil from forests or grassland, detect plants under stress and know the different crops and crop stages. AVI (Advanced Vegetation Index): AVI is used to study the changes in the crops and forests over time. It helps farmers through the satellite images about the various vegetation indicators. EVI (Enhanced Vegetation Index): EVI index uses additional wavelengths of light to correct NDVI errors. However, the NDVI results are very accurate in estimating crop health; there are few errors at atmospheric or ground level that affect the field results.Hence, the errors at atmospheric and ground level are corrected through EVI images. SAVI (Soil Adjusted Vegetation Index): SAVI is used to correct the NDVI index for the soil brightness in areas where vegetative cover is low. Hence, with the help of SAVI to know the soil health, schedule crop irrigation, monitor evaporation, drought and transpiration of the crops. NDRE (Normalized difference red edge) images: NDRE indexes are mainly used at the later growth stages of plants when they are mature and ready to harvest. It helps to know the amount of chlorophyll in the plants. The images such as NDWI (Normalized Difference Water index) are also provided which can be used to monitor changes in the water content and help control irrigation in real time. From the satellite images, the difference between the water level in the current soil and the water level in the actual soil is discovered and the difference between each of them is calculated to address the defect. The report also includes Carbon data also known as soil organic carbon. It helps to know which part of the farm has a low level of carbon so that required treatment can be applied. The report also helps in providing time series data. Time series data gives a sequence of data points collected over an interval of time. For example, if we need the NDWI index for the past 10 days. It can easily be accessed by providing the dates. However, the data will be displayed as values change per time. It also gives precise information if needed. If a farmer having 10,000 m2 land wants to know areas having NDVI 0.6-0.7, it can easily be obtained for increasing productivity. Farmers can also have access to the field images by just knowing the latitudes and longitudes of the farmland. Apart from this the user can also request for the historical data of the area. ACHIEVEMENTS Zr3i was shortlisted in top 10 finalist among 160 Egyptian StartUps for GDEXA | Mentoring and Skilling “Social Up for StartUp”. Zr3i is featured on a regional level across the Arab World. Zr3i is also starting digitization of the agriculture industry in Egypt with the German Government and Ministry of Agriculture. Zr3i has secured a place in the list of 9 most innovative Egyptian based Companies and Startups. Zr3i was announced as the Finalist at Northern African StartUp Awards 2021.  https://www.youtube.com/watch?v=UseRL7K7Q3Ehttps://www.youtube.com/watch?v=lJ56zIdt58Yhttps://www.youtube.com/watch?v=TD43Iz68bh0https://www.youtube.com/watch?v=G2iZ-fmFnsk&t=2s