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A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Jiang, Hao;  Hu, Hao;  Zhong, Renhai;  Xu, Jinfan;  Xu, Jialu;  Huang, Jingfeng;  Wang, Shaowen;  Ying, Yibin;  Lin, Tao
收藏  |  浏览/下载：9/0  |  提交时间：2020/02/17
climate change impact  corn yield  deep learning  geospatial discovery  phenology  
The important but weakening maize yield benefit of grain filling prolongation in the US Midwest 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (10) : 4718-4730
作者:  Zhu, Peng;  Jin, Zhenong;  Zhuang, Qianlai;  Ciais, Philippe;  Bernacchi, Carl;  Wang, Xuhui;  Makowski, David;  Lobell, David
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
crop growth stages  crop model  food security  global warming  Maize grain filling prolongation  satellite data  US Midwest  yield benefit