文献类型： 外文期刊
第一作者： Yang, Guijun
作者： Yang, Guijun;Yang, Guijun;Zhao, Chunjiang;Huang, Yanbo
作者机构：
关键词： Big data; Smart farming; Nitrogen requirement
期刊名称：ARTIFICIAL INTELLIGENCE IN AGRICULTURE
ISSN：
年卷期： 2020 年 4 卷
页码：
收录情况： SCI
摘要： Big data provide a pathway to lower crop nitrogen inputs from genetic breeding to field production. Moreover, multidisciplinary efforts from plant health sensing, deep machine learning and cloud computing can integrate multi-source data to form information and knowledge. So big data analysis as a prospective optimal method, will make leaps towards addressing future issues of sustainable agriculture.& COPY; 2020 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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