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Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Wolanin, Aleksandra;  Mateo-Garcia, Gonzalo;  Camps-Valls, Gustau;  Gomez-Chova, Luis;  Meroni, Michele;  Duveiller, Gregory;  Liangzhi, You;  Guanter, Luis
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
wheat yield  Indian Wheat Belt  food security  remote sensing  explainable artificial intelligence (XAI)  deep learning (DL)  regression activation map (RAM)  
Machine learning and artificial intelligence to aid climate change research and preparedness 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
作者:  Huntingford, Chris;  Jeffers, Elizabeth S.;  Bonsall, Michael B.;  Christensen, Hannah M.;  Lees, Thomas;  Yang, Hui
收藏  |  浏览/下载：15/0  |  提交时间：2020/02/17
climate change  global warming  extreme weather  drought  artificial intelligence  machine learning  climate simulations  
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (7)
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
machine learning  deep learning  predictive analytics  artificial intelligence  environmental management  big Data  remote sensing