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[1] Parameterization of the Ångström–Prescott Formula Based on Machine Learning Benefit Estimation of Reference Crop Evapotranspiration with Missing Solar Radiation Data Hydrological Processes, 2024, e15091
[2] 基于聚类法筛选历史相似气象数据的玉米产量DSSAT-CERES-Maize预测 农业工程学报, 2017, 33(19): 147-155
[3] Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT Agricultural and Forest Meteorology, 2020, 285-286: 107928
[4] Comparisons among four different upscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model Agricultural Water Management, 2021, 258: 10718
[5] Using support vector machine to deal with the missing of solar radiation data in daily reference evapotranspiration estimation in China Agricultural and Forest Meteorology, 2022, 316: 108864
[6]He Liang,Dong Wenbiao. Weather records from recent years performed better than analogue years when merging with real-time weather measurements for dynamic within-season predictions of rainfed maize yield Agricultural and Forest Meteorology, 2022, 315: 108810
Total 6 1/1
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