Vol. 9, Issue 6, Part N (2025)

Digital Soil Mapping (DSM) is a transformative technology that is reshaping the field of precision agriculture by providing high-resolution, data-driven insights into soil properties. Unlike traditional soil mapping techniques, which are often time-consuming, expensive, and limited in spatial coverage, DSM integrates advanced technologies such as remote sensing, geographic information systems (GIS), machine learning, and cloud computing to generate dynamic, accurate, and real-time soil maps. These maps enable farmers to optimize resource use, improve crop productivity, and reduce environmental impact by tailoring inputs such as water, fertilizers, and pesticides to the specific needs of different soil zones. DSM is particularly valuable in addressing global agricultural challenges such as soil degradation, climate change, and the increasing demand for food. However, challenges related to data quality, technical complexity, and accessibility remain barriers to widespread adoption, especially for smallholder farmers in developing countries. This review article explores the fundamentals of DSM, its core technologies, and applications in precision agriculture. Additionally, it discusses global case studies, current limitations, and emerging trends, emphasizing DSM's potential in revolutionizing sustainable agriculture and ensuring food security for the future.