A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Purdue researchers in the colleges of Agriculture, Engineering and Science are collaborating to advance AI applications.

A Texas A&M AgriLife Research study shows artificial intelligence can predict crop pest outbreaks more accurately than ...

A review published in Agriculture outlines how integrating these tools into farming practices could play a decisive role in ...

Illinois farmers are increasingly using drones for crop scouting, pest detection, and NDVI imagery to monitor plant health, while AI-driven analytics expand from agriculture to turf and lawn care.

AI can recommend. It cannot execute. And in Zimbabwean agriculture, execution is where most systems fail. These are not failures of the technology. They are features of the agricultural economy that ...

Researchers have developed a solar-powered, IoT-integrated robotic system that uses deep learning to detect plant diseases in real time with over 99% accuracy. The autonomous platform combines ...

SINGAPORE – Using extremely small amounts of tiny genetic markers, a new device developed by researchers at Nanyang Technological University (NTU) could cut the detection time for a range of diseases ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...