A genetic algorithm-optimized backpropagation neural network model for predicting soil moisture content using spectral data

This study introduces an effective methodology for accurate estimation of SMC using multispectral remote sensing technology and underscores the significant effectiveness of employing backpropagation neural networks and genetic algorithms in SMC prediction, providing a rapid, precise, non-intrusive, and practical approach towards precision agriculture.