Abstract:
Agricultural systems worldwide are increasingly vulnerable to climate-induced stresses, yet
there remains a lack of integrated GIS-GPS frameworks tailored for site-specific climate
adaptation. This study aims to develop a GIS-GPS-based framework for site-specific crop and soil
management under climate stress, applying geospatial intelligence to enhance resilience and
sustainability in agricultural practices. Geographic Information Systems (GIS) were used to assess
spatial variability in land use, soil characteristics, topography, and climate patterns, while Global
Positioning System (GPS) tools enabled precision field mapping and real-time tracking of crop
and soil conditions. The methodology included NDVI analysis, spatial interpolation and thematic
mapping to identify zones of soil degradation, nutrient deficiency and climate vulnerability.
Results revealed significant spatial heterogeneity in soil pH, organic matter content, and moisture
retention capacity. Crop yield improved by 20%, and input costs were reduced by 15%,
demonstrating the framework’s potential in real-world settings. These improvements correlated
strongly with geospatially mapped zones of soil health and management intervention. The
findings suggest that integrating GIS-GPS technologies enables more informed, site-specific
decisions in land and resource management, allowing farmers to adapt on both spatial and
temporal variability. The study concludes that embedding geospatial approaches in agricultural
planning significantly enhances soil stewardship and crop resilience under changing climatic
conditions. It further recommends institutional support for GIS-GPS-based decision-support
systems, capacity building for extension services and the development of open-access geospatial
databases to promote data-driven adaptation strategies. Overall, the proposed geospatial
framework provides a scalable, practical, and evidence-based solution to support sustainable
food production systems in climate-stressed agricultural environments.
