01

Current progress and boundaries

Smart irrigation and agricultural forecasting are used on some farms, but sensor coverage, data maintenance, and transfer between fields remain uneven.

02

Why it remains difficult

Soil type, slope, irrigation infrastructure, and short-term weather all change water needs. Farmers may struggle to use recommendations in daily operations if the system cannot explain them.

03

Paths worth exploring

Begin with small, controlled field trials. Link recommendations to actual irrigation volumes, crop conditions, and weather records, and allow farmers to correct anomalous data.

04

How to evaluate success

Compare water use per unit of yield, crop health, equipment maintenance costs, and farmer adoption, and test model stability across seasons.