Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

Overview: AI helps farmers make accurate decisions using real-time data from soil, weather, and crops.Precision farming reduces waste, lowers costs, and improve ...

The wonders of automation have brought incredible efficiencies to standard IT monitoring practices, especially when it comes to the detection-prevention-analysis-response (DPAR) cycle. Automating ...

Learn how the LaserWeeder’s advanced computer vision system and AI deep learning models promote sustainable agricultural practices while differentiating weeds from crops in real-time. In this second ...

Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, according to new research. Combining satellite technology ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.