Review
Open access
Oct 2026
Application of machine learning and remote sensing in soil science: current state and practical opportunities
The article examines current approaches to the assessment and mapping of soil properties based on the integration of remote sensing data, ground observations, laboratory measurements, and machine learning methods. The aim of the study is to systematize data sources, preprocessing stages, and analytical algorithms used...
S. Ogorodnikov, V. Blynsky
· International Agricultural J... · 0 citations