This week saw major advances in AI-driven agriculture across the globe. In the United States, researchers are using machine learning to fight soybean diseases like red crown rot, which can destroy half a crop. New tools combine satellite photos and ground sensors to spot sick plants early, helping farmers in Illinois and Indiana protect their fields.

Farm equipment is getting smarter too. Companies now install AI chips in tractors that listen to engine sounds and predict breakdowns before they happen, saving repair costs. These systems use special computer boards from Tria Technologies that work without internet – perfect for remote farms.

At the Washington Future Farmers of America convention, students practiced with farm robots that plant seeds and pull weeds automatically. Meanwhile, Ohio farmers report using John Deere’s AI tools to map their fields’ profit zones, helping them save money during tough market times.

Experts warn the U.S. needs to invest more in agricultural AI to stay ahead of other countries. Recent government meetings highlighted how these technologies help grow more food with fewer chemicals.

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