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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  
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  
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)  
Aboveground carbon emissions from gold mining in the Peruvian Amazon 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (1)
作者:  Csillik, Ovidiu;  Asner, Gregory P.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
deep learning  forest degradation  gold mining  Madre de Dios  Planet Dove  REDD plus  tropical forest  
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  
Detecting global urban expansion over the last three decades using a fully convolutional network 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (3)
作者:  He, Chunyang;  Liu, Zhifeng;  Gou, Siyuan;  Zhang, Qiaofeng;  Zhang, Jinshui;  Xu, Linlin
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
fully convolutional network  global urban expansion  deep learning  nighttime light data  vegetation index  land surface temperature  
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (11)
作者:  Crane-Droesch, Andrew
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/09
agriculture  machine learning  climate change impacts