Soil temperature is a critical parameter that influences agricultural productivity, hydrological processes and ecosystem dynamics. Recent advances in machine learning have enabled more accurate and ...

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 ...

What new methods can be employed to enable scientists to better understand gully erosion and how it impacts soil loss? This is what a recent study published in the Journal of Environmental Management ...

A groundbreaking study published in Soil Ecology Letters unveils a novel deep learning method to rapidly and accurately identify soil-dwelling Collembola (springtails), tiny arthropods critical for ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...

Humans have impacted soil processes for thousands of years, yet little is known about the overall effects on the soil itself. Specifically, in urban soils, humans have altered soil functions by ...

As part of the new UB Urban Soil Co-Lab, this project investigates how Buffalo residents experience and respond to soil testing for heavy metals like lead, and how community-based science can build ...