Zhao, D.; Cao, Y.; Li, J.; Cao, Q.; Li, J.; Guo, F.; Feng, S.; Xu, T.
Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning. Agronomy 2024, 14, 602.
https://doi.org/10.3390/agronomy14030602
AMA Style
Zhao D, Cao Y, Li J, Cao Q, Li J, Guo F, Feng S, Xu T.
Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning. Agronomy. 2024; 14(3):602.
https://doi.org/10.3390/agronomy14030602
Chicago/Turabian Style
Zhao, Dongxue, Yingli Cao, Jinpeng Li, Qiang Cao, Jinxuan Li, Fuxu Guo, Shuai Feng, and Tongyu Xu.
2024. "Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning" Agronomy 14, no. 3: 602.
https://doi.org/10.3390/agronomy14030602
APA Style
Zhao, D., Cao, Y., Li, J., Cao, Q., Li, J., Guo, F., Feng, S., & Xu, T.
(2024). Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning. Agronomy, 14(3), 602.
https://doi.org/10.3390/agronomy14030602
