Food security, climate change, global health: Agriculture is where the world’s most serious challenges collide.

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 ...

A new initiative called Growing with AI will bring together the state's tech giants and diverse farming community to tackle ...

Overview AI in agriculture promises higher efficiency, better yields, and data-driven farming decisions, but real-world ...

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

Modern farming embraces drones and robots to monitor crops, detect problems early and apply treatments with pinpoint accuracy ...

A local company started by alumni from Arizona State University works with various farms to incorporate AI-powered technology ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...

On a farm in Phoenix, one person with an iPad can weed a field of vegetables that once required 20 workers on their hands and knees under a hot sun. The Duncan Family Farms employee controls the ...

An almond orchard in Parlier provides a look into the future of farming. Researchers at UC Merced and the University of California Agriculture and Natural Resources installed an irrigation system ...

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