Blogs

Lentil: Area and Yield survey in UP and MP

Farmonaut did Lentil satellite survey of Lentil in states of major districts Uttar Pradesh and Madhya Pradesh in the year 2022-23 which showed area of Lentil increased in Uttar Pradesh by 3% over last year in major districts and yield increased 7% over last year, and yield in Madhya Pradesh increased by 4% over last year in major districts.  

In Uttar Pradesh, Jhansi reported highest rise in area in area with rise of 15% over last year at 31.34 thousand hectares followed by Bharaich which rose 6% over last year at 55.67 thousand hectares while Jalaun reported largest fall in acreage by 6% to over last year at 29.45 thousand hectares followed by Mahoba which saw a fall of 2% over last year at 31.33 thousand hectares. Similarly, Bahraich showed highest rise in yield by 10% over last year at 937.97 Kg/Ha followed by Jalaun  showing a rise by 7% over last year at 902.92 Kg/Ha while Lalitpur showed lowest increase by 2% over last year at 859.70 Kg/Ha followed by Shravasti which rose by 4% over last year at 865.53 Kg/Ha. The highest area was reported in Bahraich followed by Banda which showed increase of 1% in area over last year at 36.56 thousand hectares. Moreover, highest yield was reported in Jhansi which rose by 6% over last year at 978.78 Kg/Ha followed by Bahraich. Highest production was reported in Bahraich at 52.22 thousand tons followed by Banda at 32.02 thousand tons while the lowest production was reported in Shravasti at 16.72 thousand tonnes followed by Lalitpur at 18/33 thousand tonnes. The total area in major districts of UP rose by 3% over last year at 279.88 thousand hectares and average yield for the state rose by 7% and is reported at 905.51 Kg/Ha. Overall, the total production for 2022-23 in major districts of Uttar Pradesh was reported at 253.44 thousand tonnes. 

Similarly in Madhya Pradesh highest area was reported Sagar at 95.91 thousand hectares followed by Vidisha 71.32 thousand hectares while the lowest area was in Panna at 19.23 thousand hectares followed by Ashoknagar at 28.67 thousand hectares. In Madhya Pradesh, yield rose the most in Damoh by 11% over last year at 1136.36 Kg/Ha followed by Vidisha which rose by 7% over last year at 973.24 Kg/Ha  while it fell most in Dindori by 5% compared to last year at 896.85 Kg/Ha followed by Narshinghpur which fell by 1% over last year at 900.19 Kg/Ha. Moreover, highest yield was reported in Damoh followed by Vidisha at 973.24 Kg/Ha. Similarly, highest production was reported at Sagar at 87.03 thousand tonnes followed by Vidisha at 69.41 thousand tons. Lowest production was reported in Panna at 17.72 thousand tonnes followed by Narshinhpur at 30.0 thousand tonnes. Average yield of the major districts Madhya Pradesh were reported higher by 4% over last year at 951.36 Kg/Ha. Overall, the total production for 2022-23 in Madhya Pradesh was reported at 396.69 thousand tonnes. Favourable weather in both Uttar Pradesh and Madhya Pradesh led to higher yield in both states.

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 include Godrej Agrovet, ITC Limited, Coromandel International, Troforte Fertilizers, Australia, FFBS Germany and so many more!

Land Use Land Classification

Land classification is basically providing information on the type of activity taking place on the land and categorizing it. The land uses are of different types such as for industrial use, residence use, rural, urban, water reserves, agriculture area, etc. It can be classified and displayed through remote sensing using the satellite. Remote sensing would provide reliable and accurate information on the land use.

Benefits of LULC

Land Use Land Classification helps the private and government institutions in following ways:

 

  • Initiate in formation of policies and schemes for development.

  • Know the land utilization aspects 

  • Helps in managing, monitoring and planning at district, taluka and village level.

  • Keep an eye on the urban and rural development over years.

  • Study the changes in the environment.

  • Create a sustainable solution for future development.

  • Check the progress in every sector such as agriculture, forest, industrial, etc.

New Addition by FARMONAUT

Farmonaut has recently added a new feature to their application which majority can be useful to the industries and government as a whole. The feature added can be said as Land Classification based on its use. The Land on district level, taluka level or village level can be classified based on the activities being carried out. However there are multiple use cases to such addition being made by Farmonaut. We have been providing services to individual farmers and corporations on a large scale in the field of agriculture. With addition of land classification through satellite monitoring, we tend to help institutions beyond agriculture.


As stated above the benefits of land classification for institutions in a vast range, Farmonaut has received a request from their former client to introduce such features for their own use.

How to use Land Use Land Classification?

Step 1: Login to your account on the Farmonaut application.

Step 2: Select the farm you want the Land classification for.

 

 

 

 

Step 3: Open the dropdown menu of the Map controls on the left.


Step 4: Click on the “LULC” button under the For Land Use Land Classification.

Step 5: The image will be displayed on the map.

 

 

Step 6: Analyze using the color coding provided.

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:

  1. 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.

  2. FORWARD THE SAMPLES: The bags are sent to the soil testing Labs for soil testing.

  3. 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.

  4. 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.

  5. 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.

Wheat Yield Calculation in Saharsa (Bihar) Based on Remote Sensing

Introduction:

Yield calculation of the crop is very important for assessing the production and it depends on many variables like soil, weather, agricultural practices (date of planting, amount of irrigation and fertilizer use), seeds, pests, weeds, biotic stress plant varieties etc.

Remote sensing provides an effective and efficient way to forecast yield. Remote sensing has been widely used by many institutions across world to calculate area and yield of a crop.

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 20-30 days.

Methodology:

Data from Sentinel-2 was used and random fields were selected from the mapped area and yield was calculated using NDVI (Normalized Difference Vegetation Index) and LAI (Leaf Area Index).

Farmonaut platform was used to map fields to create bounded regions (fields) as shown in Figure-1. On the dates of observations the sample fields were free from clouds and normal data was observed. Crop classification was done manually by ground truthing to ascertain the crop is standing in the field.

Figure-1 Comparison of peak NDVI in 2022 Vs 2022 wheat crop

Figure-2 Comparison of peak NDVI in 2023 Vs 2021 wheat crop

NDVI was used to calculate yields for the given fields which means peak vegetative growth rate. Peak vegetative growth helps to forecast yields more accurately.

Below are the observations of NDVI of the various fields. The maximum NDVI was reached on 11-Feb-2023 compared to 8-March-2022 and 21-Feb-2021. From the NDVI, LAI was calculated which was subsequently used to calculate yield. This approach is being used after going through a lot of available texts and final model was considered.

In this procedure the estimated LAI was used with WTGROWS model for yield mapping. This model suggests direct correlation between grain yields and LAI. This relationship was applied to all the fields to calculate yields.

NDVI started to rise after planting of crop in November continued to rise until 11-Feb-2023 which is 10 days before normal peak NDVI, making the inappropriate for calculating yield. So, the next NDVI read on 16-Feb-2023 was used to calculate yields. The NDVI started falling after 11-Feb-2023 and will fall until harvest. Best results of yield are obtained when the NDVI is maximum. However, if it reaches its peak NDVI before time and falls sharply then max NDVI is not the best barometer and the next 2 NDVI reads are very important.

NDVI and LAI showed the best correlation for the estimated yields. The yields ranged from 3.35-3.64 compared to 2.87 Tons/ha to 2.98 Tons/ha last year (2021-22) and 3.5 Tons/ha to 3.7 Tons/ha in (2020-21).

Figure-3

  Area (sq. m.) 01-Feb-23 11-Feb-23 16-Feb-23 21-Feb-23 Maximum LAI Estimated Yield Kg/ha
Field 1 3600 0.7 0.7 0.6 0.4 1.827376043 2981
Field 2 7700 0.67 0.7 0.6 0.4 1.827376043 2981
Field 3 1500 0.7 0.69 0.6 0.39 1.80621064 2963
Field 4 3100 0.7 0.7 0.6 0.39 1.80621064 2963
Field 5 6600 0.68 0.65 0.59 0.34 1.684268057 2853
Field 6 2700 0.66 0.67 0.6 0.4 1.827376043 2981
Field 7 2000 0.65 0.62 0.6 0.34 1.704004521 2871
Field 8 4300 0.57 0.67 0.6 0.4 1.827376043 2981
Field 9 1700 0.65 0.63 0.68 0.35 1.892372025 3036
Field 10 3700 0.71 0.7 0.6 0.4 1.827376043 2981

Figure-4

  Area (sq. m.) 26-Feb-22 03-Mar-22 08-Mar-22 13-Mar-22 Maximum LAI Estimated Yield Kg/ha
Field 1 3600 0.4 0.5 0.5 0.44 1.827376043 2981
Field 2 7700 0.4 0.5 0.5 0.43 1.827376043 2981
Field 3 1500 0.4 0.48 0.5 0.45 1.827376043 2981
Field 4 3100 0.4 0.49 0.5 0.43 1.827376043 2981
Field 5 6600 0.4 0.44 0.49 0.4 1.785290384 2944
Field 6 2700 0.39 0.43 0.47 0.4 1.704004521 2871
Field 7 2000 0.4 0.48 0.49 0.42 1.785290384 2944
Field 8 4300 0.4 0.44 0.48 0.41 1.744173984 2908
Field 9 1700 0.4 0.46 0.5 0.44 1.827376043 2981
Field 10 3700 0.4 0.49 0.5 0.48 1.827376043 2981

 

Figure-5

  Area (sq. m.) 01-Feb-23 11-Feb-23 16-Feb-23 21-Feb-23 Maximum LAI Estimated Yield Kg/ha
Field 1 3600 0.6 0.7 0.7 0.7 2.912119253 3713
Field 2 7700 0.6 0.7 0.69 0.67 2.912119253 3713
Field 3 1500 0.59 0.7 0.7 0.69 2.912119253 3713
Field 4 3100 0.6 0.7 0.7 0.69 2.912119253 3713
Field 5 6600 0.59 0.7 0.68 0.67 2.912119253 3713
Field 6 2700 0.57 0.7 0.68 0.67 2.912119253 3713
Field 7 2000 0.52 0.64 0.64 0.64 2.532181241 3493
Field 8 4300 0.59 0.7 0.7 0.7 2.912119253 3713
Field 9 1700 0.52 0.65 0.66 0.64 2.591873781 3530
Field 10 3700 0.6 0.7 0.7 0.69 2.912119253 3713

Figure-6

Observations and calculations:

The early Max NDVI occurred due to warm winter, dry conditions, less clouds and heat tolerant yield variety. The early NDVI reached and forecast of high temperatures will adversely impact yield of the crop. Generally peak NDVI reached by 20-28 Feb but this year it has reached 10 days before and the average temperature is much higher than normal temperature and forecasted temperature is almost 10 Degree Centigrade higher than normal year will adversely affect yield in maturity stage. Higher NDVI reached before due date is abnormal and due to that peak NDVI is not used here but the next reading on 16-Feb-2023 was used to calculate yields. Also, the fall in NDVI is much sharper than 2021-22 and 2020-21 which shows that there will be major fall in yields.

Also, the average max temperature in the crop season was above corresponding period last year and 2020-21 and humidity and cloud cover were significantly lower than 2021-22 leading to more sunlight and higher temperatures on the crop thereby affecting the quality of crop and lower yields. Lower humidity leads more sunlight in winter and if temperatures remain above average than it impacts yields. Also, there is forecast of temperatures reaching 38 Centigrade by March 5 will adversely impact crop when it is in maturity phase.

In the Figure 1, there is comparison of peak NDVI of 2022-23 wheat crop vs 2021-22 while crop showing that last year wheat crop was in worse condition than current year and the average yield was 2.96 Tonnes/Hectare in the above plot while this year the average yield in the above 10 fields are 3.37 Tonnes/Hectare which is approximately 14% above last year and 9% lower than 2020-21. The data was corroborated with discussion with Krishi Vigyan Kendra- Saharsa which said the peak crop yield will fall for late shown non heat resistant varieties and heat resistant varieties have low yields. Advisories have been given to irrigate fields and use micronutrients to mitigate fall in yields. Also, heat resistant varieties have yield in the range of 3.5-4.0 Tonnes/Hectare. Long Period Average yield of rice is 4.3-4.5 Tonnes/Hectare for normal varieties which are sown on time. The yield in 2022-23 is 3.37 Tonnes/Hectare was 2.96 Tonnes/Hectare last year which is approximately 25-30% lower than Long Period Average but 14% higher than last year. The crop will be ready to harvest by End-March-2023 compared to mid-April last year and start of April in 2020-21.

Results:

Data from our observation show that the average yield is 3.37 Tonnes/Hectare compared to 2.96 Tonnes/Hectare in the same fields last year. The yield ranges from 3.31 Tonnes/Hectare to 3.64 Tonnes/Hectare compared to 2.87 Tonnes/Hectare to 2.94 Tonnes/Hectare last year and 3.4 Tonnes/Hectare to 3.71 Tonnes/Hectare in 2020-21.

The above-mentioned forecasted yields can vary depending upon weather and other unavoidable factors before harvest. If normal condition prevail then the above yields can be achieved subject to error of 10%.

The researches done in the area of yield forecasting of field crops by remote sensing has demonstrated good results. With the help of new sensors and indexes, researchers can calculate yields with less errors in future.

 

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 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

 

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:

Excited to share that Farmonaut has been providing satellite advisory services through WhatsApp for the last 4 months now! Say goodbye to complicated systems, with Farmonaut it’s easy to use – simply submit your farm boundary via our apps on Android, iOS, and web.

Receive real-time updates on your farm’s performance every time a satellite visit occurs, with messages sent directly to your WhatsApp in your preferred language. Get alerted on declining crop health and necessary irrigation inspections. You can even provide real-time feedback and access detailed PDF reports from the WhatsApp message itself.

Organizations like ITC Limited and many farmers are already utilizing our services, with an open rate of roughly 90% and overwhelmingly positive feedback.

Join the revolution in agriculture technology, join Farmonaut today. Contact us at +91-6366026267 or [email protected] for partnership or queries. #Farmonaut #SatelliteAdvisory #WhatsApp #AgricultureTechnology

Check out the news coverage by @krishijagran Krishi Jagran on Farmonaut’s work on Cost Effective Blockchain Based Traceability Solutions for Textile and Fashion Industry.

We are proud to have been providing this solution for over a year now, with a great success rate in Germany. We are now ready to expand our services to other countries and help more companies in the textile and fashion industry to improve their traceability efforts.

If you are interested in learning more about our solution and potential partnerships, please contact us at [email protected] or visit our website farmonaut.com. Don’t miss out on this revolutionary solution that can help your business improve transparency, sustainability and overall customer satisfaction.

#traceability #textileindustry #fashionindustry #costeffective #blockchain #hyperledger #rfid #nfc #b2b #b2c #DNAidentification

We are glad to welcome Students from @iim_indore IIM Indore for getting experience of various live projects going on within the company. Cheers to the @prodlab_iimi Prodlab | Product Management Club, IIM Indore for arranging such a talented pool of students.

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

Problem #1: Inefficiency due to human factors.

Problem arises when the Company doesn’t receive yield as per the efforts and investment made by them. Due to various human factors throughout the chain the estimated yield is not received by the company.

Solution: By providing satellite data to monitor farms at different levels.

Farmonaut has provided satellite data to reduce the human errors at different levels such as clusters, region and farmer level. The various satellite parameters help to track consistent actions taken on the field which examines the inefficiencies.

Problem #2: Burdensome Machinery Management at large scale.

The management issues caused are also due to human malfunction. Company’s Unawareness regarding the usage of machinery creates chaos which leads to loss in the capital invested by the company.

Solution: By Tracking each and every machinery through GPS for various data.

GPS trackers help to capture data every 10 secs and pass on to the systems. Hence, the data captured can be used for multiple benefits such as performance evaluation, to know oil usage, work done, capacity of machinery, etc.

PROBLEMS & SOLUTIONS

Farmonaut has been providing solutions to farmers and businesses at large scale to solve different problems faced in the agriculture sector.

We have managed to monitor over 10 million hectares of land world-wide and mapped over 1 lakh farms globally benefiting more than 50,000 farmers.

We are also working with 25+ large scale businesses including Coromandel International, Torforte Innovation based in Australia, Zr3i.com in Egypt, ITC, Godrej Agrovet, Mulpuri Group and many more.

ABOUT US

Satellite data captured are being processed and segregated by the Farmonaut system which makes them easy to understand. Monitoring large numbers of farms can be inaccurate and tedious. The Farmonaut system captures the data and generates reports according to the clusters. The dashboard, data and reports can be obtained in Uzbek language which makes it more convenient for the locals.

WHY FARMONAUT..???

SATELLITE BASED CROP HEALTH MONITORING:

It is a technique which helps companies to manage and organize their vehicles. In order to manage machinery Farmonaut provides a system which monitors and tracks each and every machinery.

How does it work?

GPS devices are installed on each and every machinery of TTG. The devices are connected to Farmonaut’s servers. The data is captured by devices and it is received on the server every 10 seconds. There are many different parameters that are captured by the devices such as Coordinates (Latitude Longitude), Speed, Angle, Stopped or Working, oil container is open or not, etc.

  • FLEET MANAGEMENT
  • Field mapping
  • Mapping of farms at large scale can be done with ease and accurately.
  • Soil carbon content
  • Soil carbon content tracking for better yield and knowing status of necessary actions taken in the soil.
  • Satellite based soil health monitoring
  • Timely data on diseases and pests would help n tracking whether the required inputs have been given or not.
  • Crop area estimation
  • It can be helpful to know the areas under which crop is sown and make decisions on contract farming regarding capital and machinery.
  • Identifying location requiring irrigation
  • Helps to know the location where irrigation is required and track the actions taken by farmers.
FEATURES  USE
Interface to plan jobs for machine based on needs Can get an expertised driver for a particular region.

Helps in job management effectively
Choose accessories for a particular machine. Can pick equipment as per pocket allowance and based on requirement.
Interface for performance tracking based on machine type. Helps in inventory management, market predictions and knowing future requirements.
Dashboard in Uzbek Language anyone can easily understand.
Assigning team member for each machine Can evaluate performance in different work domains.
Estimation of machine capacity. Helps in overall performance and requirements for long run viability.
Generated cumulative data Helps in estimation of optimal machine performance.
Day-to-day data entry datasets Know underperforming machines

Helps in comparison of planned and actual work
Booking machines by our farmers by Android Easy to book.
Introducing payment plans or accounts Helps in account management of organization
See performance of clusters and individual machines. Helps in evaluating performance at macro level for resource allocation and tackle unforeseen situations.
Fuel consumption monitoring Stops any false reporting or incorrect strategies used by humans.

Advanced features provided as well as proposed by Farmonaut for Fleet management:

The motion tracking feature and the parameters tracked helps to create insights/visualization of the machinery used on the dashboard as follows:

  • Track real-time location of farm machine updated every 10 seconds.
  • Track total distance covered by machine on a given day.
  • Track total number of hours machine was running.
  • Track current speed, maximum speed and average speed of machine.
  • Track number of farms visited on a particular day.
  • Track the amount of time spent by machine on each farm.
  • Track entry time and exit time of the farm machine on each farm it visited.
  • Track area of each individual farm.
  • Time lapse feature backtracks the path machine travelled through.
  • Maintain an accounting record of each field at which machine went.
  • Access to the historical data of the machine.
  • GPS devices work on any power operated machines.
  • Home location fencing.
Maintenance records of all vehicles and accessories with its expenses. Helps to know market trends and identify problem areas.
Monitor driver attendance and work performance Helps in effective management of payroll and manage schedules.

SERVICES CARRIED OUT FOR TTG

For the month of July and August in 2022 for cotton farming, Farmonaut has mapped and monitored 8800 farms contributing to over 2 lakh+ hectares of land. The reports for which were generated through satellite visits every 5 days. Around 12 reports were generated throughout the period of 2 months which were in English and Uzbek language.

Farmonaut has also created a custom account for TTG on the Farmonaut’s platform for access of the data throughout the period.

Farmonaut has also created a customized page to access the report in infographics format as shown below.

Dashboard in English Language

Dashboard

The dashboard is provided in the Uzbek and English language. It contains various satellite images for crop health, irrigation, soil carbon, etc. the reports for clusters and individual farms can be accessed through the dashboard.

Dashboard in Uzbek Language

Excel Reports

The Excel reports are generated by the system automatically. The parameters obtained in reports are:

  • Total Area covered
  • Total Good area
  • Total Bad Area
  • Irrigation required
  • Fertilizer required

The report generated is colour coded in red for the data which requires irrigation, fertilizer or are in bad condition.

Farm reports can be downloaded in Uzbek language for easy understanding. The report contains all the satellite images and weather data obtained from weather stations.

Individual Farm Report

2nd sheet of Excel Report

2nd sheet:  the clusters are segregated into regions. It also contains information on region leaders and contact.

1st sheet of Excel Report

The excel report contains 3 sheets which includes all above mentioned parameters:

1st sheet: shows data of individual clusters collectively.

 

3rd sheet of excel report showing individual farmers

3rd Sheet: Each individual farm is mentioned under the particular regions. It contains all the information of individual farmers and region leaders such as contact Number. To know the area of an individual farm, the 1st column of the sheet has a Link to Farm stating “See Farm on Map”. It directs the user to the Farmonaut map showing the satellite image on map.

2nd sheet showing Regions expanded

 

Fleet Management for TTG

Farmonaut has configured a TTG machine for a period of 2 months (July – August 2022). The device installed tracked the machine on daily basis. The testing carried out is still observation and Farmonaut servers still received data on daily basis. The below images show machine tracked. Also, Farmonaut has incorporated the advanced feature as proposed. Hence, we are ready to carry on the work.

Importance / Benefits to TTG

  • Can cross verify with farmers for authenticity of action taken on farms for improvement of yield.
  • Know areas where irrigation/fertilizers are required.
  • Track the chain for knowing at what stage error has occurred.
  • Helps in making decisions whether to grant investment to individual farmers.
  • Decreases the inefficiency caused by human factors.
  • Reports are concise and centralized for trouble-free at macro-level.
  • Can access data from cluster level to Farm level.

 

  • INVESTMENT + EFFORTS + TECHNOLOGY = INCREASES YIELD OUTCOME

WHY USE FARMONAUT?

 

 

 With Traditional/Manual method With Farmonaut
No. of farms 8800 farms 8800 farms
Average time required to survey per farm 15 minutes (0.25 man hours) 1 minute (0.017 hours)
Visits per farm per month 6 visits 6 visits
Hours required to survey 8800 farms = 8800*0.25*6

–> 13,200 man hours/ month

 = 8800*0.017*6

–> 900 hours/ month

Farmonaut decreases 94% of your survey time compared to traditional/manual survey method

Join Our Community

Enter your email address to register to our newsletter subscription delivered on regular basis!