Development of an irrigation scheduling software based on model predicted crop water stress. - Zhe Gu; Zhiming Qi; Liwang Ma; Dongwei Gui; Junzeng Xu; Quanxiao Fang; Shouqi Yuan; Gary Feng (Comput. Electron. Agric., 2017)

Neural network soil moisture model for irrigation scheduling. - Zhe Gu; Tingting Zhu; Xiyun Jiao; Junzeng Xu; Zhiming Qi (Comput. Electron. Agric., 2021)

Assimilation of surface soil moisture jointly retrieved by multiple microwave satellites into the WRF-Hydro model in ungauged regions: Towards a robust flood simulation and forecasting. - Lijun Chao; Ke Zhang 004; Sheng Wang; Zhao Gu; Junzeng Xu; Hongjun Bao (Environ. Model. Softw., 2022)

Coupling machine learning and weather forecast to predict farmland flood disaster: A case study in Yangtze River basin. - Zewei Jiang; Shihong Yang; Zhenyang Liu; Yi Xu; Yujiang Xiong; Suting Qi; Qingqing Pang; Junzeng Xu; Fangping Liu; Tao Xu (Environ. Model. Softw., 2022)

A distributed agroecosystem model (RegWHCNS) for water and N management at the regional scale: A case study in the North China Plain. - Hao Liang 009; Kelin Hu; Zhiming Qi; Junzeng Xu; William D. Batchelor (Comput. Electron. Agric., 2023)

Combination of Multiple Variables and Machine Learning for Regional Cropland Water and Carbon Fluxes Estimation: A Case Study in the Haihe River Basin. - Minghan Cheng; Kaihua Liu; Zhangxin Liu; Junzeng Xu; Zhengxian Zhang; Chengming Sun (Remote. Sens., 2024)

Estimating daily reference evapotranspiration with reduced data input using ensemble learning models in arid and humid regions of China. - Qi Wei; Qi Wei; Junzeng Xu; Peng Chen; Shengyu Chen; Zihao Liu; Wenhao Qian; Zhiheng Huang; Jingyi Ren; Haoxuan Wang; Yimin Ding; Chao Lei; et al. (Comput. Electron. Agric., 2025)