Zhou, L.; Nie, C.; Su, T.; Xu, X.; Song, Y.; Yin, D.; Liu, S.; Liu, Y.; Bai, Y.; Jia, X.;
et al. Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture 2023, 13, 895.
https://doi.org/10.3390/agriculture13040895
AMA Style
Zhou L, Nie C, Su T, Xu X, Song Y, Yin D, Liu S, Liu Y, Bai Y, Jia X,
et al. Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture. 2023; 13(4):895.
https://doi.org/10.3390/agriculture13040895
Chicago/Turabian Style
Zhou, Lili, Chenwei Nie, Tao Su, Xiaobin Xu, Yang Song, Dameng Yin, Shuaibing Liu, Yadong Liu, Yi Bai, Xiao Jia,
and et al. 2023. "Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods" Agriculture 13, no. 4: 895.
https://doi.org/10.3390/agriculture13040895
APA Style
Zhou, L., Nie, C., Su, T., Xu, X., Song, Y., Yin, D., Liu, S., Liu, Y., Bai, Y., Jia, X., & Jin, X.
(2023). Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture, 13(4), 895.
https://doi.org/10.3390/agriculture13040895
