Machine Learning Empowering Digital Soil Mapping for Digital Agriculture
Authors- Suresh Kumar and Justin George K In recent times machine learning (ML) models have emerged as potential tool in Digital Soil Mapping (DSM). It is an innovative method that generates precise soil information employing geospatial technology, including remote sensing, geographic information systems (GIS), geographic position system (GPS) and statistical modelling. Environmental covariates derived using RS and GIS are integrated Continue Reading »