SatSure Crop Yield Estimation product is a scalable, data-driven solution combining satellite imagery, weather data, and AI/ML models to deliver precise crop yield forecasts at regional, district, or village levels. Empower stakeholders in agriculture, insurance, and commodity trading with actionable insights for procurement, hedging, and risk management. The product is ideal and is significant to Agritech startups, government agricultural departments, commodity exchanges, insurance firms, and farm management organizations.
Harness satellite data and AI to accurately predict crop yields, mitigate risks, and optimize business strategies. Accurate crop yield prediction is vital for optimizing supply chains, managing price volatility, and ensuring food security. Traditional methods often rely on subjective assessments or delayed field reports, leading to inefficiencies and financial risks. This product leverages cutting-edge technology to transform how stakeholders forecast yields, monitor crop health, and make data-driven decisions.
How It Works
The solution integrates multi-source satellite data (Sentinel, MODIS, Landsat) with ground-truthing data and advanced analytics to generate real-time insights:
Crop Health Monitoring - Track vegetation indices (NDVI, LSWI) and environmental factors (rainfall, temperature) to assess crop performance.
Multi-Model Yield Prediction - Combine semi-physical models (biomass estimation) with AI/ML algorithms for robust, scalable forecasts.
Risk Identification - Detect anomalies like drought, pests, or flooding early to mitigate losses.
Seamless Integration - Feed yield data directly into business rule engines for procurement planning, insurance underwriting, or market analysis.
Why Choose This Product?
Proven Accuracy - Validated across 12+ Indian states and 18+ crops, including maize, cotton, and soybean.
Near Real-Time Insights - Access dashboards updated with the latest satellite and field data.
Scalable - Deploy across small villages or entire states without compromising precision.
Highlights
Multi-Model Approach - Combines biophysical models, AI/ML, and statistical analysis for reliable predictions.
Global Satellite Coverage - Leverage Sentinel-2 (10m resolution), MODIS, and Landsat data for granular insights.
Crop-Specific Customization - Tailored workflows for maize, cotton, rice, and other major crops.
Risk Mitigation - Quantify yield variability and extreme weather impacts for proactive planning.
API Integration - Embed yield forecasts directly into ERP, procurement, or trading platforms.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract-based pricing dimension. You pay per square kilometer of area monitored for crop yield estimation. Your cost scales directly with the total land area you want covered. There are no separate tiers or instance sizes to choose from. You define the area, and pricing follows that quantity under a contract arrangement.
Top-of-mind questions for buyers
What does one square kilometer cover, and how is the monitored area counted for billing?
You are billed per square kilometer of land included in your contract. The count reflects the total cultivated area you want monitored for yield estimation. Larger monitored regions add more square kilometers to your total, so cost tracks directly with the area you define.
What crops and regions does this yield estimation support?
The yield estimation service covers a range of crops across multiple regions and continents, including staples like wheat, maize, paddy, soybean, cotton, and sugarcane. Coverage scales across regions, so you can define monitored areas in different geographies under the same per-square-kilometer contract arrangement.
Is this a usage-based or upfront-commitment purchase?
This is a contract-based purchase, not pay-as-you-go metering. You commit to a defined area in square kilometers, and pricing follows that quantity. There are no hourly or per-event charges. The area you specify sets the total, so you fix your scope at the start of the contract.
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Support
Vendor support
Technical Support, Training Support, Contact - agri@satsure.co
AWS infrastructure support
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