For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they ...

Texas A&M researchers have developed a new method to assess damage assessments and estimate recovery times following a tornado using artificial intelligence and restoration modeling. It started as a ...

It started as a low, haunting roar building in the distance. It grew into a deafening thunder that drowned out all else. The sky turned an unnatural shade of green, then black. The wind lashed at ...

A research team has developed a dual-UAV cooperative color correction system (CoF-CC) that integrates synchronized drone flights with a ColorChecker reference chart for real-time calibration.

Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research might change that.