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What is Soil Moisture Prediction in West Africa about?

This study integrates satellite data and machine learning to predict soil moisture and assess land conservation practices in semiarid northern Ghana. Using LSTM and Random Forest models, the research demonstrates that stone bunds significantly enhance soil moisture retention, particularly in challenging topographic conditions. The findings provide a framework for effective soil-water monitoring in data-scarce regions, supporting sustainable agricultural practices and climate resilience.

Author

liu66666692

Language

EN