This project uses geostatistics and machine learning to predict soil quality from synthetic environmental and soil data. It models a Soil Quality Index (SQI), evaluates prediction accuracy, and highlights key variables influencing soil health, offering insights for sustainable land and agricultural management.
☆10Feb 19, 2026Updated last month
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