Summary
- Each model should name its decision, data owner, error cost and beneficiary.
- Growers need access to useful outputs, correction rights and bargaining power over farm data.
AI can forecast disease, grade beans, tune roasting and personalise demand, linking the morning cup to many automated decisions. Gains may still accrue mainly to equipment vendors, traders or retailers while farmers supply data and carry bad forecasts. The next useful evidence is a season-level account of yield, waste, price and labour before and after deployment, split among participants. Technology improves coffee when operational gains are measurable and the people producing the data share in them.
