Definition #
ML analyzing weather, soil, and satellite data for harvest forecasts.
Key Characteristics #
- NDVI analysis
- Pest risk
- Irrigation
- Commodity
Why It Matters #
Reduces food waste by 20% (FAO).
Common Use Cases #
- Insurance
- Supply chain
- Government
Examples #
- ClimateAI
- Taranis
- CropIn
FAQs #
Q: Accuracy?
A: 95% within 2 weeks of harvest.
Q: Small farms?
A: Works with smartphone camera inputs.