How can AI-enabled decision support lead to optimized farm resource management, mitigate crop losses, and improve produce quality?
To answer this question, the AgAID team is developing AI tools and approaches that can support real-time site-specific decision-making at the farm scale. These decision frameworks will allow a farmer to more effectively harness data collected from the farm for tackling uncertainties introduced by extreme weather dynamics and changing resource availability.
Example use-cases under this thrust include:
- Frost mitigation in orchards to reduce crop loss and decrease energy footprint;
- Deficit irrigation in grape vineyards and orchards to improve fruit quality with decreased water use; and
- Harvest management in orchards to optimize labor costs and improve fruit quality.