Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...

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 ...

The use of AI technology in predicting crop failures is making waves in the agricultural sector, boasting an impressive accuracy rate of 90%. This innovation signals a new era in agriculture, with ...

Predictability in agriculture is about as hard to find as a needle in a haystack. When you’re trying to prevent pest and disease pressures from devastating your yield, your approach to crop management ...

Weeds remain one of the most persistent problems in agriculture. But the biggest issue facing modern farmers isn't getting rid of weeds; mechanical tools and herbicides can do that. Instead, the ...

Google commits $8 million to enhance AI in healthcare and agriculture in India, fostering multilingual applications and ...

This illustration shows how the "Pest-ID" tool developed by Iowa State researchers can help farmers identify and manage pests of all kinds. Image courtesy of Iowa State's Translational AI Center. Nine ...

A government-led initiative is collecting international case studies of practical artificial intelligence solutions deployed ...

STARKVILLE — Mississippi State University and its Agricultural Autonomy Institute this week are hosting the 4th Annual AI in Agriculture and Natural Resources Conference, bringing together national ...

The National 4-H AI in Agriculture Challenge has announced its 2025 fall winners, with Iowa youth taking center stage.