Back to Case Studies
Agriculture & AgriTech

Crop Yield Prediction

Satellite + ML forecasting to accurately predict yields and improve farmer planning and income.

Crop Yield Prediction hero
Forecast Accuracy
85
%
Resource Planning Improvement
25
%
Income Increase
20
%

The Challenge

Farmers face 30% yield uncertainty leading to poor planning and significant economic losses.

Our Solution

Satellite imagery, weather, and soil data fused into ML models to forecast crop yields and guide resource allocation.

TECHNOLOGIES USED

PythonRandom ForestCNNGoogle Earth EnginePostgreSQLMobile App

Ideal For

AgriTech startups
Farming cooperatives
Government agencies

Visual Insights

Crop Yield Prediction gallery 1
Crop Yield Prediction gallery 2