Zhao, L., Qing, S., Bai, J., Hao, H., Li, H., Shi, Y., . . . Yang, R. (2023). A hybrid optimized model for predicting evapotranspiration in early and late rice based on a categorical regression tree combination of key influencing factors. Computers and electronics in agriculture, 211, 108031. https://doi.org/10.1016/j.compag.2023.108031
Citácia podle Chicago (17th ed.)Zhao, Long, Shunhao Qing, Jiayi Bai, Haohao Hao, Hui Li, Yi Shi, Xuguang Xing, a Ru Yang. "A Hybrid Optimized Model for Predicting Evapotranspiration in Early and Late Rice Based on a Categorical Regression Tree Combination of Key Influencing Factors." Computers and Electronics in Agriculture 211 (2023): 108031. https://doi.org/10.1016/j.compag.2023.108031.
Citácia podľa MLA (8th ed.)Zhao, Long, et al. "A Hybrid Optimized Model for Predicting Evapotranspiration in Early and Late Rice Based on a Categorical Regression Tree Combination of Key Influencing Factors." Computers and Electronics in Agriculture, vol. 211, 2023, p. 108031, https://doi.org/10.1016/j.compag.2023.108031.