New Advances In Machine Learning For Soil Properties Prediction And Mapping

This article discusses the use of remote sensing data and machine learning algorithms for mapping and predicting soil properties on a global scale. It highlights the potential of these technologies for understanding environmental functions and ecosystem services, and outlines the challenges in accurately predicting dynamic changes in soil information. The article also announces a new Special Issue in Remote Sensing, welcoming research on related topics.