Soil mapping based on assessment of environmental similarity
Soil mapping based on the assessment of environmental similarity and the selection of calculating samples is a crucial approach in precision agriculture and land management. This method involves identifying regions with similar environmental characteristics—such as climate, topography, vegetation, and parent material—to optimize soil sampling strategies. By analyzing these environmental similarities, researchers can reduce the number of required soil samples while maintaining accuracy in soil property predictions. Advanced geospatial techniques, including Geographic Information Systems (GIS) and machine learning models, are often employed to refine the selection process. This approach enhances the efficiency of soil surveys, minimizes costs, and provides reliable data for sustainable land use planning, soil fertility management, and environmental conservation.
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