AI in Agriculture: Uses, Savings and Adoption Hurdles
Why in the news
Farming, long driven by human observation and instinct, is moving to AI-guided decisions for sustainability, productivity and profit.
Applications
| Area | What AI does |
|---|---|
| Precision irrigation | Reads soil moisture, weather and crop needs; saves 20-30% water |
| Pest and disease detection | Image recognition spots early signs; less blanket spraying |
| Smart equipment | Tractors and sprayers map soil and apply fertiliser selectively |
| Crop planning | Price, market and climate forecasts guide planting and selling |
Concerns
- Connectivity: a third of rural areas lack reliable internet.
- Old machines: retrofitting costs $5,000-12,000 each.
- Talent gap: few experts mix agriculture and AI.
- Data ownership: unclear; farmer-led data cooperatives proposed.