Xinkai Sun, Zhongyu Yang, Pengyan Su, Kunxi Wei, Zhigang Wang, Chenbo Yang, Chao Wang, Mingxing Qin, Lujie Xiao, Wude Yang, Meijun Zhang, Xiaoyan Song, Meichen Feng
Leaf area index (LAI) is an essential indicator for crop growth monitoring and yield prediction. Real-time, non-destructive, and accurate monitoring of crop LAI is of great significance for intelligent decision-making on crop fertilization, irrigation, as well as for predicting and warning grain productivity. This study aims to investigate the feasibility of using spectral and texture features from unmanned aerial vehicle (UAV) multispectral imagery combined with machine learning modeling methods to achieve maize LAI estimation...
2023: Frontiers in Plant Science