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Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 275, 页码: 100-113
作者:  Feng, Puyu;  Wang, Bin;  Liu, De Li;  Waters, Cathy;  Yu, Qiang
收藏  |  浏览/下载：38/0  |  提交时间：2019/10/08
Extreme climate events  Wheat yield  APSIM  Random forest  Hybrid model  
Distribution margins as natural laboratories to infer species' flowering responses to climate warming and implications for frost risk 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 268, 页码: 299-307
作者:  Guo, Liang;  Wang, Jinghong;  Li, Mingjun;  Liu, Lu;  Xu, Jianchu;  Cheng, Jimin;  Gang, Chengcheng;  Yu, Qiang;  Chen, Ji;  Peng, Changhui;  Luedeling, Eike
收藏  |  浏览/下载：43/0  |  提交时间：2019/11/07