Zhai, W.; Li, C.; Cheng, Q.; Mao, B.; Li, Z.; Li, Y.; Ding, F.; Qin, S.; Fei, S.; Chen, Z.
Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications. Remote Sens. 2023, 15, 3653.
https://doi.org/10.3390/rs15143653
AMA Style
Zhai W, Li C, Cheng Q, Mao B, Li Z, Li Y, Ding F, Qin S, Fei S, Chen Z.
Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications. Remote Sensing. 2023; 15(14):3653.
https://doi.org/10.3390/rs15143653
Chicago/Turabian Style
Zhai, Weiguang, Changchun Li, Qian Cheng, Bohan Mao, Zongpeng Li, Yafeng Li, Fan Ding, Siqing Qin, Shuaipeng Fei, and Zhen Chen.
2023. "Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications" Remote Sensing 15, no. 14: 3653.
https://doi.org/10.3390/rs15143653
APA Style
Zhai, W., Li, C., Cheng, Q., Mao, B., Li, Z., Li, Y., Ding, F., Qin, S., Fei, S., & Chen, Z.
(2023). Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications. Remote Sensing, 15(14), 3653.
https://doi.org/10.3390/rs15143653