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AI-powered Yield Forecasting

Predicting agricultural productivity with machine learning models that analyze satellite data, climate patterns, and soil health metrics.

AI Yield Models

Crop Forecast Models

Predicting regional harvest yields with 94% accuracy

AGRONOMICS

Using satellite imagery and climate sensors to create predictive models for wheat, corn, and rice cultivation across multiple geographies.

Field Sensors Network

Field Monitoring System

Real-time soil and climate tracking for precision agriculture

SENSORS

Deploying IoT devices across 120+ farms to continuously monitor moisture levels, nutrient content, and pest activity.

Water Resource Modeling

Water Resource Analysis

Optimizing irrigation using hydrological simulations

WATER

Developing AI that predicts aquifer usage patterns and recommends sustainable irrigation strategies for drought-prone areas.

How It Works

Our forecasting system uses:

Satellite Sensors

Collect multi-spectral data from 600+ orbitinging assets

Climate API

Integrate historical and predictive weather data

Field Devices

10,000+ ground-level monitoring stations

See Yield Forecasting in Action

Visualize crop predictions using our interactive simulation tool. Input region, crop type, and season to see predicted yields.

Full Simulation Tool

Ready to Harvest Better Data?

Partner with agronomists and data scientists to optimize food production with AI forecasting.

Start a Collaboration