AI-driven remote sensing framework can map forage cultivation potential in drylands

A new study introduces an artificial intelligence (AI)-driven remote sensing framework designed to map the potential for forage cultivation across northern China’s drylands, with a particular focus on the middle reaches of the Yellow River. The study, recently published in Water Research, identifies optimal forage-growing belts at the kilometer scale, delivering data and decision-ready tools to underpin ecological protection, sustainable agricultural practices, and national feed and food security.

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