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 ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

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 ...

Soil contamination remains a global challenge, threatening ecosystems, agriculture, and human health. Conventional remediation strategies, while effective, are often energy-intensive and carbon-heavy, ...

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 ...