Most agribusinesses already generate the inputs that artificial intelligence needs to be useful: yield history, soil tests, as-applied records, equipment data and imagery. The key is turning that ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

The 2026 International Production & Processing Expo (IPPE) is about to open its doors, and Shanghai Xiashu Intelligent ...

American drone-maker Hylio is mostly insulated from recent tariff impacts, according to its CEO, Arthur Erickson. “We’ve always positioned ourselves as making as much of our products in America as we ...

Deere & Co's AI innovations have drawn praise from experts who say their restructuring of work holds lessons for health care ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

The continuous advancement of artificial intelligence (AI) promises to transform nearly every sector of the economy. Agriculture is no exception. Each aspect of the agricultural supply chain—from the ...

(Yicai) Jan. 21 -- China’s use of artificial intelligence in agriculture is an important case to watch and could provide valuable lessons for other emerging markets, a senior executive at Syngenta ...

Google’s AI ecosystem includes over 30 tools categorized into seven groups, addressing needs like deep learning, content ...

AI technology in Andhra Pradesh will verify farm data authenticity, enhancing transparency and credibility in agricultural ...