Yamaguchi, T.; Tanaka, Y.; Imachi, Y.; Yamashita, M.; Katsura, K.
Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice. Remote Sens. 2021, 13, 84.
https://doi.org/10.3390/rs13010084
AMA Style
Yamaguchi T, Tanaka Y, Imachi Y, Yamashita M, Katsura K.
Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice. Remote Sensing. 2021; 13(1):84.
https://doi.org/10.3390/rs13010084
Chicago/Turabian Style
Yamaguchi, Tomoaki, Yukie Tanaka, Yuto Imachi, Megumi Yamashita, and Keisuke Katsura.
2021. "Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice" Remote Sensing 13, no. 1: 84.
https://doi.org/10.3390/rs13010084
APA Style
Yamaguchi, T., Tanaka, Y., Imachi, Y., Yamashita, M., & Katsura, K.
(2021). Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice. Remote Sensing, 13(1), 84.
https://doi.org/10.3390/rs13010084