Article Versions Notes

Geng J, Li H, Luan W, Shi Y, Pang J, Zhang W. Estimation of Daily Actual Evapotranspiration of Tea Plantations Using Ensemble Machine Learning Algorithms and Six Available Scenarios of Meteorological Data. Applied Sciences. 2023; 13(23):12961. https://doi.org/10.3390/app132312961

Geng, Jianwei, Hengpeng Li, Wenfei Luan, Yunjie Shi, Jiaping Pang, and Wangshou Zhang. 2023. "Estimation of Daily Actual Evapotranspiration of Tea Plantations Using Ensemble Machine Learning Algorithms and Six Available Scenarios of Meteorological Data" Applied Sciences 13, no. 23: 12961. https://doi.org/10.3390/app132312961

Geng, J., Li, H., Luan, W., Shi, Y., Pang, J., & Zhang, W. (2023). Estimation of Daily Actual Evapotranspiration of Tea Plantations Using Ensemble Machine Learning Algorithms and Six Available Scenarios of Meteorological Data. Applied Sciences, 13(23), 12961. https://doi.org/10.3390/app132312961