Satellite Imagery & Remote Sensing

• Detect nutrient deficiencies or pest infestations early

• Estimate biomass and chlorophyll levels

• Predict potential yield based on vegetation indices (NDVI, EVI)

Weather Forecasting & Climate Modeling

• Rainfall, temperature, humidity patterns

• Droughts, floods, or frost events

• Microclimate effects on specific crops

Soil Health Monitoring

• Analyze moisture, pH, nutrient levels

• Predict how these factors influence crop productivity

• Recommend targeted inputs to boost yield

Historical Yield & Crop Data Analysis

• Understand past trends and anomalies

• Simulate expected output based on current variables

• Recommend optimal seed varieties, sowing dates, and spacing

Real-Time Crop Monitoring via Drones & Sensors

• Crop canopy coverage

• Pest or disease outbreaks

• Growth uniformity across fields

Market Intelligence & Economic Forecasting

• Forecast future prices based on expected yields and global trends

• Advise farmers on when and where to sell their produce

• Reduce post-harvest losses by aligning supply with market demand

Impact on Farmers

• Up to 30% improvement in yield forecasting accuracy

• Reduced input costs through data-driven decisions

• Better access to insurance and credit due to reliable yield estimates