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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：13/0  |  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)  
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