Inversion Model of Coastal Soil Salinity Based on Hybrid Feature Selection and Machine Learning Algorithms
Soil salinization in coastal regions poses a serious threat to sustainable agricultural development. Feature selection is critical for improving soil salinity inversion accuracy. To this end, this study developed a Pearson correlation coefficient (PCC)-based hybrid feature selection framework. First, the PCC was used f...