Today, the same principles of “machine learning” that Samuel applied in his early experiments are being used in almost every discipline — including one field that is not often associated ...

A new paper published in Agriculture outlines how computational technologies, artificial intelligence, and information ...

Machine learning can pinpoint 'genes of importance' that help crops to grow with less fertilizer, according to a new study. It can also predict additional traits in plants and disease outcomes in ...

Drones flying over fields to assess crop status. Tractors steering autonomously, guided by soil maps to deliver tailored ...

AMES, Iowa – Iowa State University scientists are working toward a future in which farmers can use unmanned aircraft to spot, and even predict, disease and stress in their crops. Their vision relies ...

Machine learning uncovers “genes of importance” in agriculture and medicine Approach using evolutionary principles identifies genes that enable plants to grow more with less fertilizer Peer ...

Beyond precision agriculture “You hear about precision agriculture all the time,” Sarkar said, referring to the practice of monitoring crops and soils to make sure they get exactly what they need for ...

Machine learning in agriculture Goswami will teach courses through the Dale Bumpers College of Agricultural, Food and Life Sciences. Through the experiment station, he will conduct research in the ...

Machine learning could lead to automated processes that would allow soybean producers to diagnose crop stresses more efficiently. A multi-disciplinary team at Iowa State University recently ...