Jiang, ZeweiYang, ShihongDong, ShidePang, QingqingSmith, PeteAbdalla, MohamedZhang, JieWang, GuangmeiXu, Ying2023-06-072023-06-072023-06-07Jiang, Z, Yang, S, Dong, S, Pang, Q, Smith, P, Abdalla, M, Zhang, J, Wang, G & Xu, Y 2023, 'Simulating soil salinity dynamics, cotton yield and evapotranspiration under drip irrigation by ensemble machine learning', Frontiers in plant science, vol. 14, 1143462. https://doi.org/10.3389/fpls.2023.11434621664-462XORCID: /0000-0001-8403-327X/work/136481938ORCID: /0000-0002-3784-1124/work/162728491https://hdl.handle.net/2164/20811We thank the China Scholarship Council (CSC) for providing a scholarship (202206710073) to Zewei Jiang. This work was supported by the Fundamental Research Funds for the Central Universities (B220203009), the Postgraduate Research & Practice Program of Jiangsu Province (KYCX22_0669), the Water Conservancy Science and Technology Project of Jiangxi Province (201921ZDKT06, 202124ZDKT09), the National Natural Science Foundation of China (51879076), the Fundamental Research Funds for the Central Universities (B210204016), Science & Technology Specific Projects in Agricultural High-tech Industrial Demonstration Area of the Yellow River Delta, Grant No: 2022SZX01. Copyright © 2023 Jiang, Yang, Dong, Pang, Smith, Abdalla, Zhang, Wang and Xu.4799365engsalinityevapotranspirationdrip irrigationcottonensemble machine learningGE Environmental SciencesQH301 BiologyPlant ScienceGEQH301Journal article10.3389/fpls.2023.1143462https://www.scopus.com/pages/publications/85162979592