Liu, S.; Zhang, B.; Yang, W.; Chen, T.; Zhang, H.; Lin, Y.; Tan, J.; Li, X.; Gao, Y.; Yao, S.;
et al. Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models. Remote Sens. 2023, 15, 453.
https://doi.org/10.3390/rs15020453
AMA Style
Liu S, Zhang B, Yang W, Chen T, Zhang H, Lin Y, Tan J, Li X, Gao Y, Yao S,
et al. Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models. Remote Sensing. 2023; 15(2):453.
https://doi.org/10.3390/rs15020453
Chicago/Turabian Style
Liu, Shiyuan, Bin Zhang, Weiguang Yang, Tingting Chen, Hui Zhang, Yongda Lin, Jiangtao Tan, Xi Li, Yu Gao, Suzhe Yao,
and et al. 2023. "Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models" Remote Sensing 15, no. 2: 453.
https://doi.org/10.3390/rs15020453
APA Style
Liu, S., Zhang, B., Yang, W., Chen, T., Zhang, H., Lin, Y., Tan, J., Li, X., Gao, Y., Yao, S., Lan, Y., & Zhang, L.
(2023). Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models. Remote Sensing, 15(2), 453.
https://doi.org/10.3390/rs15020453
