A Survey on Data-Driven Models for Soil Moisture Regression and Classification

In three linesSurvey of AI-based models for soil moisture estimation and classification. Five categories compared: statistical time-series, geostatistical methods, classical ML, deep learning, and Bayesian approaches. Data-driven methods provide flexible alternatives to computationally expensive physics-based models.

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