Wang, Y.; Tan, S.; Jia, X.; Qi, L.; Liu, S.; Lu, H.; Wang, C.; Liu, W.; Zhao, X.; He, L.;
et al. Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis. Agronomy 2023, 13, 1541.
https://doi.org/10.3390/agronomy13061541
AMA Style
Wang Y, Tan S, Jia X, Qi L, Liu S, Lu H, Wang C, Liu W, Zhao X, He L,
et al. Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis. Agronomy. 2023; 13(6):1541.
https://doi.org/10.3390/agronomy13061541
Chicago/Turabian Style
Wang, Yuwei, Suiyan Tan, Xingna Jia, Long Qi, Saisai Liu, Henghui Lu, Chengen Wang, Weiwen Liu, Xu Zhao, Longxin He,
and et al. 2023. "Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis" Agronomy 13, no. 6: 1541.
https://doi.org/10.3390/agronomy13061541
APA Style
Wang, Y., Tan, S., Jia, X., Qi, L., Liu, S., Lu, H., Wang, C., Liu, W., Zhao, X., He, L., Chen, J., Yang, C., Wang, X., Chen, J., Qin, Y., Yu, J., & Ma, X.
(2023). Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis. Agronomy, 13(6), 1541.
https://doi.org/10.3390/agronomy13061541