Chen, R.; Ren, L.; Yang, G.; Cheng, Z.; Zhao, D.; Zhang, C.; Feng, H.; Hu, H.; Yang, H.
Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning. Agriculture 2025, 15, 1072.
https://doi.org/10.3390/agriculture15101072
AMA Style
Chen R, Ren L, Yang G, Cheng Z, Zhao D, Zhang C, Feng H, Hu H, Yang H.
Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning. Agriculture. 2025; 15(10):1072.
https://doi.org/10.3390/agriculture15101072
Chicago/Turabian Style
Chen, Riqiang, Lipeng Ren, Guijun Yang, Zhida Cheng, Dan Zhao, Chengjian Zhang, Haikuan Feng, Haitang Hu, and Hao Yang.
2025. "Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning" Agriculture 15, no. 10: 1072.
https://doi.org/10.3390/agriculture15101072
APA Style
Chen, R., Ren, L., Yang, G., Cheng, Z., Zhao, D., Zhang, C., Feng, H., Hu, H., & Yang, H.
(2025). Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning. Agriculture, 15(10), 1072.
https://doi.org/10.3390/agriculture15101072
