Yuan, J.; Zheng, Z.; Chu, C.; Wang, W.; Guo, L.
A Hybrid Synthetic Minority Oversampling Technique and Deep Neural Network Framework for Improving Rice Yield Estimation in an Open Environment. Agronomy 2024, 14, 1890.
https://doi.org/10.3390/agronomy14091890
AMA Style
Yuan J, Zheng Z, Chu C, Wang W, Guo L.
A Hybrid Synthetic Minority Oversampling Technique and Deep Neural Network Framework for Improving Rice Yield Estimation in an Open Environment. Agronomy. 2024; 14(9):1890.
https://doi.org/10.3390/agronomy14091890
Chicago/Turabian Style
Yuan, Jianghao, Zuojun Zheng, Changming Chu, Wensheng Wang, and Leifeng Guo.
2024. "A Hybrid Synthetic Minority Oversampling Technique and Deep Neural Network Framework for Improving Rice Yield Estimation in an Open Environment" Agronomy 14, no. 9: 1890.
https://doi.org/10.3390/agronomy14091890
APA Style
Yuan, J., Zheng, Z., Chu, C., Wang, W., & Guo, L.
(2024). A Hybrid Synthetic Minority Oversampling Technique and Deep Neural Network Framework for Improving Rice Yield Estimation in an Open Environment. Agronomy, 14(9), 1890.
https://doi.org/10.3390/agronomy14091890