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What is Soil Moisture Prediction in IoT Irrigation about?

This study compares modern and traditional modeling methods for predicting soil moisture in IoT-based irrigation systems, highlighting the inefficiencies in current irrigation practices that waste significant water. Using two years of data from a US farm, the research evaluates various machine learning and deep learning algorithms, finding that Random Forest outperforms others, including traditional methods like ARIMA, in most datasets. The results suggest that older statistical methods may still be more ef

Author

chernimehdi11

Language

EN