Application of machine learning in soil management

A comparison of four different studies employing machine learning in soil management shows diverse focuses, from evaluating soil drying to predicting crucial soil properties like organic carbon, moisture content, and temperature. Through various methodologies, these studies aim to provide precise estimations of soil properties to optimize agricultural practices and facilitate decision-making.