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A chlorophyll-deficient, highly reflective soybean mutant: radiative forcing and yield gaps 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Genesio, L.;  Bright, R. M.;  Alberti, G.;  Peressotti, A.;  Delle Vedove, G.;  Incerti, G.;  Toscano, P.;  Rinaldi, M.;  Muller, O.;  Miglietta, F.
收藏  |  浏览/下载：10/0  |  提交时间：2020/08/18
albedo change  radiation management  MinnGold  climate change mitigation  
Machine learning based estimation of land productivity in the contiguous US using biophysical predictors 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Yang, Pan;  Zhao, Qiankun;  Cai, Ximing
收藏  |  浏览/下载：12/0  |  提交时间：2020/08/18
land productivity  marginal land  land use  machine learning  
A perspective on changes across the US Corn Belt 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Hunt, Eric D.;  Birge, Hannah E.;  Laingen, Christopher;  Licht, Mark A.;  McMechan, Justin;  Baule, William;  Connor, Tom
收藏  |  浏览/下载：8/0  |  提交时间：2020/08/18
corn yield  trends  corn production  
Quantifying the uncertainty introduced by internal climate variability in projections of Canadian crop production 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Qian, Budong;  Jing, Qi;  Smith, Ward;  Grant, Brian;  Cannon, Alex J.;  Zhang, Xuebin
收藏  |  浏览/下载：8/0  |  提交时间：2020/08/18
climate change impacts  crop production  crop modelling  internal climate variability  uncertainty  
Changes of crop failure risks in the United States associated with large-scale climate oscillations in the Atlantic and Pacific Oceans 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Schillerberg, Tayler A.;  Tian, Di
收藏  |  浏览/下载：11/0  |  提交时间：2020/08/18
climate oscillation  crop failure  Bayesian analysis  maize  winter wheat  the United States  
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven  
Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Leng, Guoyong;  Hall, Jim W.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
climate change  crop yield  machine learning  statistical model  crop model  
Kenyan tea is made with heat and water: how will climate change influence its yield? 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Rigden, A. J.;  Ongoma, V;  Huybers, P.
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
tea yield  agriculture  climate change  water balance  soil moisture  
Concealed nitrogen footprint in protein-free foods: an empirical example using oil palm products 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Hayashi, Kentaro;  Oita, Azusa;  Nishina, Kazuya
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
nitrogen use efficiency  oil crop  palm oil  palm kernel oil  vegetable oil  virtual nitrogen factor  
DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Lin, Tao;  Zhong, Renhai;  Wang, Yudi;  Xu, Jinfan;  Jiang, Hao;  Xu, Jialu;  Ying, Yibin;  Rodriguez, Luis;  Ting, K. C.;  Li, Haifeng
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
yield estimation  corn  LSTM  attention mechanism  multi-task learning  deep learning