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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)  
Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (11)
作者:  Carter, Elizabeth K.;  Riha, Susan J.;  Melkonian, Jeff;  Steinschneider, Scott
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
acclimation  climate variability  collinearity  crop management  rainfed  maize  observational data  
Comparing and combining process-based crop models and statistical models with some implications for climate change 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (9)
作者:  Roberts, Michael J.;  Braun, Noah O.;  Sinclair, Thomas R.;  Lobell, David B.;  Schlenker, Wolfram
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
climate impacts  agriculture  crop simulation model  statistical model  model inter comparison