Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning

Ming-Der Yang, Yu-Chun Hsu, Wei-Cheng Tseng, Hsin-Hung Tseng, Ming-Hsin Lai

Abstract: Highlights•UAV and machine learning model for non-destructive rice GMC quantification.•Feature selection improves GMC model’s domain-specific performance.•Reduces labor/time for GMC, optimizing harvest for profit.•Validated over five crop seasons, proving the model’s robustness in agri-tech.•Low-cost, efficient GMC assessment from 22 % to 38 % spatially.