Applications of Machine Learning and Computer Vision in Soil Analysis Automated Soil Texture Classification. Soil texture classification is fundamental to understanding its physical properties.

In silico machine learning–enabled detection of polycyclic aromatic hydrocarbons from contaminated soil. Proceedings of the National Academy of Sciences , 2025; 122 (19) DOI: 10.1073/pnas.2427069122 ...

Researchers applied multiple machine learning techniques to predict the unconfined compressive strength (UCS) of cohesive soil reconstituted with cement and lime. Gradient boosting and k-nearest ...

“We had conducted a previous study in the same area, but we applied only an individual machine learning model to predict gully erosion susceptibility,” said Dr. Jeongho Han, who recently defended his ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. The key here: real-time information.

A team of researchers at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

HOUSTON – (May 9, 2025) – A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil, even ones that have ...