Farming Blogs

v Research Collaboration with Chippy Pushpangathan on a DST funded project in Precision Agriculture At Farmonaut, we believe if any research is being conducted for the benefit of the farming community, we must stand together to make it’s benefits reach to as many farmers as possible. And, we are always delighted to work with researchers to help the farming community with providing the latest technologies. One such latest collaboration which we feel is going to contribute to the farming community is with Chippy Pushpangathan. Chippy Pushpangathan is a Research Scholar and is pursuing her PhD at the Department of Geography, School of Earth Sciences, Central University of Karnataka. Her broad area of research covers crop yield modelling using geospatial technology. Her research topic is broadly centered around:  “Potential of Precision Agriculture Using Geospatial Information For Kharif Cultivation in Kalaburagi District, Karnataka, India” The research work is a crop centric work wherein the main focus will be towards identifying the potential of precision agriculture using geospatial information (more specifically the possibility of microwave remote sensing) for rain-fed pigeon pea (Kharif Tur Dal).  The research work will focus on the farming land in and around Kalaburagi district and will focus on Tur Dal of this Kharif season of 2019 (June to November). This research work is funded by the Department of Science and Technology (DST, Govt. of India) under INSPIRE Scheme.   Chippy aspires to make her research outcomes to reach the ground level farming community, hence this collaboration serves the common objective of both her and Farmonaut. Before the actual field work starts in June 2019, our combined objective is to ideate and gather kalaburagi district centric useful information as well as identifying the further technological needs which Farmonaut may be able to provide depending upon the feasibility (apart from our already publicly usable systems) once the actual work starts. At Farmonaut, we believe that by combining the on-field research study conducted by Chippy Pushpangathan when combined with technological tools provided by Farmonaut as well the access to the growing farming community of Farmonaut, the entire research will surely provide a better insight to the farmers of Kalaburagi district and possibly the research work will be replicable to other parts of the country as well. In the coming months, we will keep updating everyone of the progress of the ongoing research collaboration on atleast a monthly basis. Farmonaut currently provides two satellite imagery based products, namely: Satellite Based Crop Health Monitoring System For Farmers (Android): Farmonaut provides satellite based crop health monitoring system, through which farmers can select their field and identify the regions of the field at which the crop growth is not normal. Upon identifying that region of their fields, they can simply pay a visit to that part of the field and identify if the problem has already started. If it has not, the farmer can take preventive remedies by applying more fertilizers, plant growth regulators etc. If the problem has already started, they can simply explain their problem to Farmonaut’s crop issue identification system and get real-time govt. approved remedies.   Satellite Imagery Access For Research System (Android and Website) For research purposes (non-farming usage), Farmonaut provides access to satellite imagery of any place around the through our website and android app. The satellite imagery is provided at the cheapest market rates. Accessing satellite imagery through our website is a fairly simple process:   Step 1:  Select the date range (From and To Date) Step 2: Select Imagery bands required (You can select from 13 raw bands and 7 Farmonaut Processed bands) Step 3: Select the area on the Map for which you are requesting the imagery for. Step 4: Submit this request… wait for a few seconds Step 5: Select specific days for which you need the imagery for. Step 6: Make payment and voila! You will receive the imagery automatically into your email address within the displayed time interval. The app is available for android on Google PlayStore:  https://play.google.com/store/apps/details?id=com.farmonaut.android We will keep posting about any such informative information on to our blogs, to help as many people as possible. Farmonaut is built upon a vision to bridge the technological gap between farmers and strives to bring state-of-the-art technologies in the hands of each and every farmer. For any queries/suggestions, please contact us at [email protected]. We have some more interesting articles coming up soon. Stay tuned! Wait!!

In a remarkable stride towards agricultural advancement, the Farmers’ Training Program on “Post Harvest Management and Technologies for Value Additions in Banana” recently unfolded in Jalgaon, Maharashtra. This collaborative effort, spearheaded by Krishi Vigyan Kendra, NAU, Navsari, the Center of Excellence on Post Harvest Technology, ACH, NAU, Navsari, and Agrivision- Gujarat, Ahmedabad, in association with ISAE- Gujarat Chapter and the SMART & ATMA Project, Jalgaon, Maharashtra, brought together 20 zealous banana farmers eager to enhance their skills and knowledge. Setting the Stage The event served as a dynamic platform for farmers to delve into the intricacies of post-harvest management and explore cutting-edge technologies for value additions in banana cultivation. The program aimed not only to disseminate knowledge but also to foster a sense of community and collaboration among the farming fraternity. The highlight of the event was Shivani Dudhatra, a representative from Farmonaut, who took center stage to illuminate the farmers on the transformative role of GIS (Geographic Information System) and AI (Artificial Intelligence) in banana crop management. Ms. Dudhatra, from Farmonaut, brought forth practical insights, showcasing how the integration of technology could revolutionize traditional farming practices. Farmonaut’s Contribution Farmonaut, an innovative agricultural technology company, played a pivotal role in bringing forth advanced insights to the farming community. The company specializes in leveraging GIS and AI technologies to provide farmers with real-time data and actionable insights. Ms. Dudhatara, in her engaging presentation, elucidated how Farmonaut’s solutions can empower farmers by offering accurate information on crop health, soil conditions, and weather patterns. GIS and AI in Banana Crop Management The use of GIS in agriculture is a game-changer, providing farmers with spatial information critical for decision-making. Ms. Dudhatara emphasized how GIS enables precise mapping of banana plantations, aiding in optimal resource allocation, pest management, and crop monitoring. Additionally, AI was showcased as a powerful tool for predictive analysis, enabling farmers to anticipate disease outbreaks, optimize irrigation, and enhance overall crop yield. Interactive Learning Sessions The program wasn’t just about theory; it was a hands-on experience for the farmers. Interactive learning sessions allowed participants to engage with the technologies firsthand, fostering a deeper understanding of their practical applications. The farmers gained valuable insights that could be directly applied to their banana cultivation practices. Farmers’ Feedback The success of any training program lies in the impact it has on the participants. The farmers expressed gratitude for the comprehensive nature of the training, emphasizing how the knowledge gained, particularly from Farmonaut’s insights, would undoubtedly elevate their farming practices. Many highlighted the practicality of GIS and AI in addressing real-time challenges, envisioning a future where technology, guided by companies like Farmonaut, becomes an integral part of their everyday agricultural routines. Collaborative Efforts for Sustainable Agriculture The collaboration between Krishi Vigyan Kendra, NAU, Navsari, various agricultural organizations, and Farmonaut showcased the power of collective efforts towards sustainable agriculture. By bringing together experts, technology providers, and farmers, the event exemplified a holistic approach to agricultural development, one that recognizes the crucial role technology plays in shaping the future of farming.

Crop Monitoring at Early Growth Stage Crop monitoring at the early growth stage is a crucial aspect of modern agriculture as it enables the identification of early signs of stress and diseases in crops shortly after planting. By utilizing advanced technologies such as NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) satellite images, farmers can quickly detect pest infestations and nutrient deficiencies that might otherwise go unnoticed. These indices analyze the reflectance of different wavelengths of light to assess the health of the crops. In this context, the black color on the images indicates poor crop conditions, alerting farmers to potential issues that require immediate attention. Conversely, the green color signifies good crop conditions, providing reassurance that the plants are thriving. Additionally, the use of RGB (Red, Green, and Blue) sensors during the early growth stage further enhances the monitoring process, offering farmers valuable insights to make informed decisions and optimize their agricultural practices. By harnessing these technologies, farmers can proactively address challenges, resulting in improved crop yields and sustainable farming practices. Crop Monitoring at Later Growth Stage Crop monitoring at the later growth stage plays a vital role in agriculture as it involves weeks to months leading up to the harvesting period, where overall crop health and maturity need to be closely monitored. During this critical phase, farmers rely on advanced technologies like NDRE (Normalized Difference Red Edge) satellite images to identify late-stage diseases and irrigation deficiencies that could impact the final yield. By analyzing the reflectance of near-infrared and red-edge wavelengths, NDRE images provide valuable insights into the crop’s health and stress levels. The red color on the images indicates areas of concern, highlighting potential issues that demand immediate attention to prevent further damage. On the other hand, the green color signifies healthy crop areas, giving farmers confidence in the successful development of their crops. Additionally, the combination of NDVI and LIDAR sensors enhances the monitoring process, allowing for more accurate assessments of crop density, canopy structure, and overall health. By utilizing these advanced tools during the later growth stage, farmers can make data-driven decisions, optimize resource allocation, and ensure a bountiful and successful harvest. Contact Farmonaut today for your farm data: [email protected] farmonaut.com +91-6366026267

Wheat Area Estimation in MP, SehoreBy Farmonaut Sehore, located in the state of Madhya Pradesh, India, is known for its agricultural activities, with wheat being one of the primary crops cultivated in the region. Keeping track of the wheat area under cultivation is crucial for farmers, researchers, and policymakers to monitor agricultural productivity and plan for efficient resource allocation. In recent times, Farmonaut, an innovative agri-tech company, has emerged as a key player in conducting accurate wheat area estimations in Sehore and other agricultural regions. Farmonaut utilizes advanced remote sensing technology, satellite imagery, and artificial intelligence algorithms to provide precise and up-to-date information on crop health, yield predictions, and area estimations. By harnessing the power of these cutting-edge technologies, Farmonaut helps farmers make data-driven decisions, optimize resource allocation, and improve overall agricultural practices.  One of the key challenges faced by farmers and researchers in estimating wheat area is the vast expanse of agricultural land and the time-consuming and labor-intensive process of manually surveying the fields. Traditional methods often rely on ground surveys or manual counting, which can be highly subjective and prone to errors. Additionally, the process is time-consuming and does not provide real-time information, making it difficult for stakeholders to respond quickly to changing conditions. Farmonaut addresses these challenges by offering an automated and accurate solution for wheat area estimation. The company collects high-resolution satellite imagery of agricultural areas, including Sehore, on a regular basis. This imagery is then processed using state-of-the-art algorithms to detect and classify wheat fields, distinguishing them from other land cover types. By analyzing the satellite imagery, Farmonaut can accurately estimate the extent of wheat cultivation in Sehore and provide valuable insights to farmers and stakeholders. WHY IS AREA ESTIMATION IMPORTANT? Accurate and timely data on crop area, yield, and production play a vital role in planning and resource allocation for the agricultural sector. Policymakers and planners rely on this information to develop effective agricultural policies and make critical decisions regarding procurement, storage, public distribution, and import/export activities. The estimation of crop area is crucial for: ensuring food security at the global or national level. It allows policymakers to make informed decisions on import and export policies, ensuring that the right amount of food is available to meet the population’s needs. Additionally, accurate crop area estimation enables policymakers to adjust food prices effectively, ensuring affordability and stability in the market. HOW IS AREA ESTIMATION CONDUCTED ? Farmonaut’s Automated Crop Area Estimation Systems have successfully identified the current wheat area under cultivation in Sehore, Madhya Pradesh. The system categorizes the identified areas into different colors to indicate the health of the wheat crop. Yellow, orange, or red locations indicate areas where the wheat crop appears to be underperforming and may require further inspection. On the other hand, locations shown in shades of green represent areas where the wheat crop is healthy. This information allows farmers, researchers, and stakeholders to pinpoint areas of concern and prioritize their efforts in addressing potential issues affecting wheat crop health. By identifying underperforming areas, farmers can take appropriate measures such as adjusting irrigation, applying fertilizers, or implementing pest control strategies to improve the health and productivity of the wheat crop. Conversely, areas with healthy wheat crops can serve as reference points for best practices and provide insights into successful cultivation techniques. The use of color-coded visualization helps in easily interpreting the health status of the wheat crop across different locations in Sehore. By leveraging automated crop area estimation systems, stakeholders can make informed decisions and take targeted actions to optimize agricultural productivity and ensure a successful wheat harvest. CONCLUSION Farmonaut’s wheat area estimation service in Sehore, MP, showcases the transformative potential of agri-tech in revolutionizing traditional farming practices. By leveraging the power of remote sensing and artificial intelligence, the company provides accurate, reliable, and real-time information that empowers farmers, researchers, and policymakers alike. As technology continues to advance, it is imperative that agricultural stakeholders embrace these innovative solutions to optimize agricultural productivity, promote sustainability, and enhance food security. Farmonaut’s wheat area estimation in Sehore, MP, stands as a testament to the positive impact that agri-tech can have on the farming community and the broader agricultural landscape. Top Clients of Farmonaut

Farmonaut Expands Fleet Management Capabilities in heavy duty vehicles Farmonaut, a leading provider of precision agriculture technology and services, has expanded its fleet management capabilities in Uzbekistan. The company’s fleet management solutions are designed to help organizations optimize the usage and maintenance of their heavy-duty machinery, such as excavators, cranes, road rollers, and more. Real-Time Vehicle Monitoring with Farmonaut’s Fleet Management System One of the key features of Farmonaut’s fleet management system is its ability to provide real-time monitoring of vehicle performance. The system features a dashboard that displays key information such as the path of the vehicle traveled, vehicle model, plate number, vehicle type, device serial number, and other data such as speed, total vehicle distance, engine speed, today’s distance, drive time, and idle time.  The ability to monitor vehicles in real-time provides organizations with valuable insights into the performance of their fleet. This information can be used to identify inefficiencies and areas for improvement, leading to increased productivity and reduced costs. Customizable Fleet Management System with User-Friendly Dashboard Farmonaut’s fleet management system is designed to be customizable to the specific needs of each organization. The system can be accessed through a user-friendly dashboard that provides real-time data on the performance of each vehicle in the fleet. The system can also be configured to send alerts to managers and other stakeholders when certain events occur, such as a vehicle traveling outside of a designated area or exceeding a certain speed limit. Valuable Data on Vehicle and Driver Performance In addition to monitoring vehicle performance, Farmonaut’s fleet management system provides organizations with valuable data on driver behavior. This information can be used to identify areas where drivers may be wasting fuel or driving inefficiently. By addressing these issues, organizations can reduce fuel costs and improve the overall efficiency of their fleet. The system also allows organizations to monitor the performance of their vehicles’ engines. This feature provides valuable data on the health of the engine and can help organizations identify issues before they become major problems. By identifying issues early, organizations can reduce the likelihood of costly breakdowns and extend the lifespan of their vehicles. Conclusion Overall, Farmonaut’s fleet management system provides organizations with a powerful tool for optimizing the performance of their heavy-duty machinery. By providing real-time data on vehicle performance, the system enables organizations to make informed decisions that can increase productivity, reduce costs, and extend the lifespan of their vehicles. With its user-friendly dashboard and customizable features, Farmonaut’s fleet management system is an ideal solution. Contact Farmonaut today for fleet management services

Farmonaut’s technological advancements facilitate: 1. Tree Number Estimation By estimating the number of trees in a farm, we can determine if the acreage has been planted with the ideal number of trees. If the estimation reveals a lower count, it is necessary to inform the concerned parties to address the issue by planting more trees. 2. Tree Age Estimation Knowing the age of oil palm trees in different areas beforehand can assist us in determining the appropriate care needed for each location. Moreover, it aids in predicting the potential high-yield areas. 3. Crop Performance Farmers can choose their field and pinpoint the areas where the crop growth is abnormal Once the problematic region is identified, farmers can visit that area to determine if the issue has already arisen. If it hasn’t, they can take proactive measures such as applying additional fertilizers, plant growth regulators, and so on, to prevent the problem from occurring. The satellite imagery is refreshed every 2-5 days and provides a resolution of 10 meters, which is twice as good as that of Google Maps in rural India. 4. Large Scale Traceability Farmonaut’s traceability solutions provide complete visibility into the entire supply chain of the oil palm industry, from the plantation to the final product. offer numerous benefits for oil palm plantations, including increased transparency, efficiency, environmental responsibility, quality control, and market access. Why Farmonaut For Oil Palm Plantation? Though Oil palm plantations are a vital source of income for farmers managing an oil palm plantation comes with its challenges, such as optimizing yield outcomes, monitoring crop health, and ensuring sustainability. This is where Farmonaut comes into action. Farmonaut’s technology provides various benefits such as : Results with a high level of precision. Performs estimations at a faster pace. Capable of estimating these results for an unlimited number of fields. Using this approach, we conducted an estimation of the age of the plantation to gain insights into its potential yield. Who are the beneficiaries? At Farmonaut, we performed Oil Palm Plantation analysis for Godrej Agrovet for more than 800 farmlands totaling 1000+ hectares in area. Corporate entities and large businesses that trade in oil palms can utilize our technology to elevate their business operations. By using our system, they can monitor their farms to detect vegetation and water stress and take proactive measures to save their crops before it’s too late. Our system provides detailed PDF reports that help redirect ground efforts to areas that need attention, thereby preventing any potential crop damage. By identifying the exact locations with stress, businesses can save money on farm inputs. To get started, all they need to do is upload their farm data and start receiving insights. Farmonaut helps you with: Recording Farm Level Data Records farm details such as: inputs used during various stages of the crop cycle. disease or infestation occurrences and geo-tagged images of the affected crops in the field. Mapping Farms in Large Quantity Using GPS on the field perimeters, your team can map the fields. You will be given admin rights to approve the palm fields uploaded by your team. The input field includes data of farmers and other relevant parameters. The data is available for further studies. Oil Palm Area Detection Maps the oil palm fields using GPS coordinates of a specific area with the help of Google Maps and Sentinel 2. These data which are then downloaded are utilized as a training set for object identification. The system then identifies the palm fields using the object identification method based on the training set. Once identified, the total area of each field perimeter is calculated. These results are further utilized to improve the accuracy of the training set for better results in the next iteration until the final results are achieved. Study of Crop Health & Water Deficiency Your ground team can use Farmonaut platform to map the oil palm fields, which can be viewed in different wavelengths of light captured by satellites. On the platform, studies can be conducted on crop health using Vegetation Indexes such as NDVI, EVI, SAVI, and NDRE, while water stress can be evaluated using NDWI, NDMI, and Evapotranspiration. More advanced studies can be carried out using VARI, AVI, BSI, and SI, and Digital Elevation Model studies can also be done. Additionally, studies can be conducted during the cloudy season using Synthetic Aperture Radar (using Sentinel 1). The platform provides access to various Index databases, and weather data is available for viewing, with the ability to download historical data for advanced studies. Furthermore, maps of various Indexes can be compared in parallel for different dates. +91 6366026267 [email protected] www.farmonaut.com

2.2 Million+ Satellite images processed at Farm level in 31 days Farmonaut’s achievement in processing over 2.2 million farm-level satellite images in just 31 days is a significant milestone for the company and a promising development for the future of agriculture. With its innovative use of technology and commitment to improving the lives of small-scale farmers, Farmonaut is poised to make a significant impact on the agricultural industry in the years to come. Introduction: The use of satellite imagery in agriculture is not a new concept. For many years, farmers and researchers have used images captured by satellites to gain insights into crop health, soil moisture, and other important factors that influence agricultural productivity. However, the sheer scale of data available from satellites has always been a challenge, making it difficult for individuals to extract meaningful insights from the vast amounts of information available. This is where Farmonaut comes in. By leveraging cutting-edge machine learning and computer vision technologies, the startup has developed a platform that can process and analyze large volumes of satellite imagery quickly and accurately. The platform uses algorithms to identify and classify different types of crops, track crop growth and health over time, and monitor soil conditions, among other things. The company’s platform provides farmers with a range of services, including crop health monitoring, yield estimation, and pest and disease detection. By analyzing satellite images, Farmonaut can identify areas of a farm that are experiencing stress or damage and provide farmers with actionable insights to improve their yields.   The company leverages machine learning algorithms and satellite imagery to provide farmers with actionable insights about their crops, including crop health, nutrient deficiencies, and potential disease outbreaks. By providing affordable and accessible services, Farmonaut is helping these farmers to improve their productivity and profitability. Milestone Achieved: Over the course of just 31 days, Farmonaut’s platform analyzed more than 2.2 million satellite images at the farm level. This feat required significant computational power and sophisticated algorithms that could analyze the data at scale. By doing so, the platform was able to generate insights into crop growth and health, soil conditions, and other key factors that impact agricultural productivity. The implications of this achievement are significant. With access to detailed information about crop health and soil conditions, farmers can make more informed decisions about planting, fertilization, and irrigation, which can lead to higher yields and greater profitability. Researchers can also use this data to gain insights into how different crops perform under different conditions, allowing them to develop new varieties that are better suited to specific environments. Moreover, this achievement demonstrates the power of technology to transform the agricultural industry. With advanced machine learning and computer vision technologies, it is now possible to process and analyze vast amounts of data quickly and accurately, unlocking new insights and opportunities for innovation. By sophisticated means such as these, Farmonaut would continue to push the boundaries of what is possible, we can expect to see even more groundbreaking achievements in the field of precision agriculture in the years to come. Conclusion: In conclusion, Farmonaut’s achievement of processing and analyzing over 2.2 million farm level satellite images in just 31 days is a remarkable feat that showcases the immense potential of technology to transform the agricultural industry. By utilizing advanced machine learning and computer vision technologies, Farmonaut has demonstrated the power of data-driven insights to drive innovation and increase productivity in agriculture. This achievement is a significant milestone in the field of precision agriculture, and it will undoubtedly inspire more startups and researchers to explore the possibilities of advanced technology in agriculture. Farmonaut’s technology has the potential to benefit a wide range of clients in the agricultural industry, from small-scale farmers to large agribusinesses. By providing highly accurate information about crop health and soil conditions, Farmonaut could gain appreciation many top tier clients.

Soil Testing : Introduction Soil tests are conducted on one or more varieties of soil for knowing the health of soil or to analyze various possible soil parameters. Soil testing is majorly performed in Agriculture and construction industries to possibly know the health and to get better results. However, in India agriculture isn’t much aware about the importance of soil testing for crop health and soil health. The parameters involved in soil testing are Soil temperature, Soil pH, Nutrients such as N, P, Mg, K, Cl, etc. Importance of soil testing in agriculture In agriculture, 60% of crop yield depends on soil fertility which accounts into making sure of the good quality of soil. With better quality results in better yield of crops. Some other importance of soil testing can be as follows: Know the current health of soil and improve it: Testing reports provides various soil parameters which would be helpful to know the condition and add on the required nutrients or maintain the soil moisture as well. Eventually results in better soil fertility and higher yield. Avoid soil erosion, degradation, etc: With each year soil fertility has been decreasing due to erosion which has caused imbalance in soil management. Also, soil degradation affects the livelihood and health of people. However, Soil restoration is a costly and time consuming process hence, soil management is the efficient and effective way of maintaining soil conditions. Minimize the use of fertilizers: Excess use of fertilizers can degrade the soil quality and fertility. With soil reports excess use of fertilizers can be avoided. Decrease the cost: Unawareness of excess fertilizers used in the farms, the cost of fertilizers and labor increases. It can be reduced by knowing the required amount of fertilizers. Maintain uniformity in nutrients across fields: the soil testing provides all the nutrients data as well which gives an idea to the farmers on what nutrients are to be used. Soil samples from different locations on farms would help to maintain uniformity in the soil nutrients along the field. Improve in yield: Knowing all the parameters of soil would result in better soil quality and improve the yield. SOIL SAMPLING Soil sampling is done by the farmers by collecting the soil samples from different locations on the farms. It is basically the soil collected from different locations of the farms (based on the area) and sent to the labs for knowing the nutrients and soil health. The soil must be clean from plants and must be taken from a depth of 6-12 inches (varies according to the test). What FARMONAUT offers? Farmonaut, along with crop health monitoring, has introduced a feature to reduce the work of farmers and help them in efficient soil testing procedures. Soil reports can be obtained by the Farmonaut platform. The feature is currently available on the web application of Farmonaut, they have been working to provide the same on mobile application as well. The farmers already associated with Farmonaut have been using this feature for soil testing their farms. They have also been providing the services to businesses and individual farmers as well. Troforte Innovations is an example of using this feature for their farmers in collaboration with Farmonaut.    The soil testing would as follows: COLLECTION OF SOIL: The farmer must collect the soil from his/her farm from different locations in the bags. The bags provided have barcodes with 8-10 digits on them for digital use. FORWARD THE SAMPLES: The bags are sent to the soil testing Labs for soil testing. TESTING THE SOIL: Soil testing Labs performs multiple tests nearly 10-15 tests. The tests help to identify various parameters such as pH, EC (electric conductivity), Carbon content, Saturation percentage and Nutrients like Potassium, Nitrogen, Magnesium, Phosphorus, etc. UPLOADING THE RESULTS: The result of soil tests were obtained manually by the farmers. Farmonaut has made it easier through technology which provides the data digitally on their devices. The soil testing labs can upload the results of the tests through API endpoint which then will match with the barcode added by the farmers in order to display the results on their device. EASY ACCESS TO RESULTS: The access to the soil tested data can be gained by scanning the barcodes on the bag. The farmer/user have to add the field and the soil sample information which includes 3 data points as shown in the figure below:  Select the field: The field must be selected from the fields that have already been marked/geotagged by the user. Barcode: The barcode can be scanned or barcode number can be typed by the user. Sample Location: The user has to select the location on the map from where the soil sample was taken. The platform has an option “REPORTS” which displays the soil results and also helps to add the soil sample data as above. After adding the field if the results of the test are available it shows Purple color otherwise gray if results are not available. The reports that are obtained from the testing labs included more than 100 parameters. Also, the user can easily search for the parameters they need. conclusion Soil fertility has been a major issue over the past years in agriculture production. Soil sampling is done by the farmers from their farms which is then sent to testing labs. The reports generated were manually sent to the farmers which may take more than a day. To overcome this, Farmonaut has come up with a service that provides data with ease to the farmers on their devices just by a few clicks.

BIGGEST RISK FOR INDIA IN 2023 The biggest risk India is facing is the risk of climate change. Climate change effects yield of crops, lower cropped area and droughts. Higher temperature in March 2022 led to lower yield of Wheat in 2022 and erratic monsoon led to lower yield in Rice. Hit in both the crops has led to severe cereal inflation. The government is struggling to bring down prices of cereals as it impacts the most impoverished. Even with free distribution of 5 kg of grains for 80 crore people has led to lower stocks of wheat and rice in central pool. This has led government to close the scheme in December.    With India having high food component in headline inflation, the risk of inflation induced by climate change effects the whole economy. It forces RBI to slow down economy by raising interest rates despite weak aggregate demand at the lower end of pyramid, nascent recovery after 3 years of adverse impact by Corona pandemic. Various climate agencies are predicting more than 50% probability of EL Nino in 2023 which reduces the monsoon intensity in South Asia. The heating of Pacific leads to drought in Southeast Asia which produces palm, rubber, rice, sugarcane, pulses etc faces risk of reduction of production stroking inflationary impact on these prices which are directly related to Indian prices as India imports palm oil, rubber, pulses etc. The risk of lower rains will affect the already adverse supply position of agriculture products in the market.   The consumption in the lower end of pyramid is facing distress since 2018 will face lower income and higher inflation of goods especially food. The government will have either close exports of many agriculture commodities or forced to import more. With the war in Ukraine impacting the Agri Supply chain of grains to sunflower oil will adversely impact ability to import and the imported inflation of food items.   Global economic slowdown will reduce exports and slow Indian economy, causing income and inflation issues. This will particularly impact farmers and the poor due to peak food inflation.   FARMONAUT: To Reduce Risk To mitigate the incoming risk faced due to weather change, Farmonaut is providing its technology and data analytics. Farmonaut is revolutionizing agriculture through satellite data with a vision to help farmers and agriculture enthusiast worldwide in cost-effective way. By providing data on Crop Health, water stress, Weather forecasts and many more; the agriculture industry can make informed decisions about crop management. As climate change continues to posses’ risk on Agriculture industry, Farmonaut’s services can play a crucial role in mitigating risks.  By utilizing Farmonaut’s platform, farmers an access up-to-date information on vegetation water stress, evapotranspiration, soil organic carbon and weather forecasts, allowing them to make data-driven decisions on fertilization, pest management, irrigation needs and advisory. This proactive approach to crop management can potentially help mitigate the effects of climate change, reduce the risk of lower crop yields, and decrease inflationary impacts on food prices. With over 1 million hectares of farmland monitored, Farmonaut is providing data to farmers and corporates worldwide. Some of our major clients/partners:   Written By: Dipanker Gyan Shivani Dudhatra FIND AND CONTACT US AT:

BIGGEST RISK FOR INDIA IN 2023 The biggest risk India is facing is the risk of climate change. Climate change effects yield of crops, lower cropped area and droughts. Higher temperature in March 2022 led to lower yield of Wheat in 2022 and erratic monsoon led to lower yield in Rice. Hit in both the crops has led to severe cereal inflation. The government is struggling to bring down prices of cereals as it impacts the most impoverished. Even with free distribution of 5 kg of grains for 80 crore people has led to lower stocks of wheat and rice in central pool. This has led government to close the scheme in December.    With India having high food component in headline inflation, the risk of inflation induced by climate change effects the whole economy. It forces RBI to slow down economy by raising interest rates despite weak aggregate demand at the lower end of pyramid, nascent recovery after 3 years of adverse impact by Corona pandemic. Various climate agencies are predicting more than 50% probability of EL Nino in 2023 which reduces the monsoon intensity in South Asia. The heating of Pacific leads to drought in Southeast Asia which produces palm, rubber, rice, sugarcane, pulses etc faces risk of reduction of production stroking inflationary impact on these prices which are directly related to Indian prices as India imports palm oil, rubber, pulses etc. The risk of lower rains will affect the already adverse supply position of agriculture products in the market.   The consumption in the lower end of pyramid is facing distress since 2018 will face lower income and higher inflation of goods especially food. The government will have either close exports of many agriculture commodities or forced to import more. With the war in Ukraine impacting the Agri Supply chain of grains to sunflower oil will adversely impact ability to import and the imported inflation of food items.   Global economic slowdown will reduce exports and slow Indian economy, causing income and inflation issues. This will particularly impact farmers and the poor due to peak food inflation.   FARMONAUT: To Reduce Risk To mitigate the incoming risk faced due to weather change, Farmonaut is providing its technology and data analytics. Farmonaut is revolutionizing agriculture through satellite data with a vision to help farmers and agriculture enthusiast worldwide in cost-effective way. By providing data on Crop Health, water stress, Weather forecasts and many more; the agriculture industry can make informed decisions about crop management. As climate change continues to posses’ risk on Agriculture industry, Farmonaut’s services can play a crucial role in mitigating risks.  By utilizing Farmonaut’s platform, farmers an access up-to-date information on vegetation water stress, evapotranspiration, soil organic carbon and weather forecasts, allowing them to make data-driven decisions on fertilization, pest management, irrigation needs and advisory. This proactive approach to crop management can potentially help mitigate the effects of climate change, reduce the risk of lower crop yields, and decrease inflationary impacts on food prices. With over 1 million hectares of farmland monitored, Farmonaut is providing data to farmers and corporates worldwide. Some of our major clients/partners:   Written By: Dipanker Gyan Shivani Dudhatra FIND AND CONTACT US AT:

In this paper, we focus on forecasting yield of wheat based on data from Sentinel-2 satellite data. The study area was wheat crop in Saharsa (Bihar). The crop is in advanced stage and has vegetated fully and harvest is expected in next 20 days.

Crop growth and yield monitoring over agricultural fields is an essential procedure for food security and agricultural economic return prediction.

The following document gives a brief overview about various functions available on the Farmonaut app.

Soil organic carbon is the basis of sustainable agriculture. Farmers are interested in retaining and increasing soil organic carbon for individual fields in order to improve soil health and yield.

We are delighted to announce that we have signed a two-year MoU with STEI Foundation, Africa. STEi Foundation ( Sustainable TransEnvironment International Foundation) was established in 2017 to contribute to greening the environment and empowering the women and young people in rural Africa and currently has a representation in Thirteen (13) African Countries, namely: Ghana, Tanzania, Tunisia, South Africa, Cameron, Angola, Mauritius, Kenya, Rwanda, Namibia, Zambia, Zimbabwe and Nigeria.

The Research collaboration is a 6 months long collaboration (June 2019 to November 2019) and focuses on exploring the Potential of Precision Agriculture Using Geospatial Information For Kharif Cultivation in Kalaburagi District, Karnataka, India.

Farmonaut’s Database has government approved information about 300+ problems on 100+ crops and 150+ Chemicals (Insecticides, Pesticides, Plant Growth Regulators etc.).

Farmonaut’s Voice-Text Based Crop Issue Identification System can identify 300+ problems on 100+ crops in 50+ different languages and prrovides government approved solutions.