1. The optimal phenological phase of maize for yield prediction with high-frequency UAV remote sensing;Yang;Remote Sens.,2022
2. Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery;Zhou;ISPRS J. Photogramm. Remote Sens.,2017
3. Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors;Carneiro;Precis. Agric.,2020
4. Evaluating the potential of red edge position (REP) of hyperspectral remote sensing data for real time estimation of LAI & chlorophyll content of kinnow mandarin (Citrus reticulata) fruit orchards;Ali;Sci. Hortic.,2020
5. Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence;Carneiro;Biosci. J.,2022