Automated Crop Type Detection

Automated Crop Detection & Field Boundary Delineation

Our AI tools works smoothly in continents such as Europe, Asia, North America, South America and Australia.

Automated Predicted accurate field boundaries using Satellite Imagery and deep neural network model for Field Delineation

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Crops Analysed
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Team Members
0.1 M
Delineating Field Borders
Crop Yield Prediction

Improve your crop production management strategies by estimating how much yield you can get from any crop for an upcoming season based on historical data trends.

  • Predicted Accurately over 90%
  • For Any Region, City or state
  • For one or many crops.
  • Multi-level algorithm based on 10 different sources of data

Crop Harvest Monitoring

We learn using last 20 years historical Data and current datasets with 30+ Parameters, to enhance planning for harvesting crops

  • Harvest vs non- harvest area calculations
  • Improved Harvest by 30 % 
  • Technical Report with all specifications

Automated Crop type Detection

It serves the purpose of forecasting grain supplies , collecting crop production statistics, facilitating crop rotation records, mapping soil productivity, identification of factors influencing crop stress.Prepare an inventory of what was grown in certain areas and when.

  • Upto 92 % Accuracy
  • Total Area & Yield for each farm 
  • For Current & Past Season

Automated Farm Boundary Detection / Delination

Beyond farmers and growers, the entire agricultural value chain is affected by field boundary and seeded acreage data. Automated Farm Boundary Detection using AI, ML & Satellite Imagery

  • Upto 94 % Accuracy
  • For Current & Past Season

Soil Moisture Mapping

Accurate soil moisture monitoring allows you to understand crop health better and reveals important climate trends over time.Water availability is becoming a crucial limiting factor for crop yields. Our soil moisture maps allow farmers to recognise underlying patterns of water distribution in their fields.

  • Data at Surface & Root Level
  • Historical Datasets

Crop Damage Assessment

Farmers strongly rely on high yields while crop damage puts the agricultural business at risk. The common types of crop damage occur due to weather extremities, pest or pathogen attacks, wildlife grazing, misuse of chemicals, and poor irrigation.

Farm Climate Risk & Assessments

Stay aware of Climate Patterns & Risks for individual field with our real-time weather forecast, weather alerts & 3 hour interval forecast for better weather risk assessment.

  • Upto 92 % Accuracy
  • Accessing All types of risk
  • Technical Report of Assessment

Carbon Credits
Linking farmers with supporting companies in an effort to protect our planet and improve farmers’ bottom line.Reducing tillage, adding cover crops, and rotating crops are just some of the steps farmers can take to bring carbon back into the soil and begin producing credits. To intensify the benefit to the soil, farmers can implement multiple practices resulting in resilient soil and a more profitable operation.

Drought Monitoring

The availability of timely information and alerts support the decision-making processes in drought-related hazard monitoring and management.Drought monitoring involves observing indicators and indices that evaluate changes in a region’s hydrological cycle. Indicators, which are used to describe drought conditions, are variables such as precipitation, temperature, streamflow, ground and reservoir water levels, soil moisture, and snowpack.

  • Upto 92 % Accuracy
  • For any Region