The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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 ...
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 team of researchers has developed a new strategy for identifying hazardous pollutants in soil -- even ones that have never been isolated or studied in a lab. A team of researchers at Rice University ...