A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP) across commercial fields, helping farmers make smarter irrigation decisions and improve yields. This research marks the first large-scale application of such technology in chickpea farming.
Satellite imagery-driven models support chickpea farmers in the field
