AI Drones Identify Climate‑Resilient Wheat
Why it matters: Breeders can cut field‑testing time by up to 50%, accelerating release of climate‑resilient wheat for Mediterranean farmers.
- University of Barcelona & Agrotecnio deployed drones with RGB, multispectral, thermal cameras and ground sensors to monitor wheat growth.
- AI models trained on sensor data accurately predict yield and stability, reducing need for harvest‑time measurements.
- Early‑vigorous varieties (high initial growth, earlier maturity) outperformed “greener” lines, showing better performance under variable water and temperature.
- Plant breeding programs can use this approach to select wheat that maintains yields despite climate fluctuations.
A University of Barcelona and Agrotecnio team used drones and AI to evaluate 64 durum wheat varieties, finding that early vigor and slightly earlier maturation predict both high yield and stability across irrigated and rain‑fed Mediterranean conditions—offering a fast, low‑cost tool for breeding climate‑resilient wheat.
