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Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network

文献类型：期刊论文

作者Xiao, Qingxin3; Li, Weilu3; Kai, Yuanzhong2; Chen, Peng3; Zhang, Jun2; Wang, Bing1
刊名BMC BIOINFORMATICS
出版日期2019
卷号20
ISSN号1471-2105
其他题名Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network
英文摘要Background: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, machine learning and especially deep learning methods have been widely used in many fields and have achieved good results.
资助项目[National Natural Science Foundation of China] ; [Educational Commission of Anhui Province] ; [Anhui Province Funds for Excellent Youth Scholars in Colleges] ; [fund of Co-Innovation Center for Information Supply & Assurance Technology in AHU] ; [Anhui Scientific Research Foundation for Returness]
语种英语
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/124149]  
专题中国科学院合肥物质科学研究院
作者单位1.Anhui University of Technology
2.Anhui University
3.Hefei Institutes of Physical Science, Chinese Academy of Sciences
推荐引用方式
GB/T 7714		 Xiao, Qingxin,Li, Weilu,Kai, Yuanzhong,et al. Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network[J]. BMC BIOINFORMATICS,2019,20.
APA Xiao, Qingxin,Li, Weilu,Kai, Yuanzhong,Chen, Peng,Zhang, Jun,&Wang, Bing.(2019).Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.BMC BIOINFORMATICS,20.
MLA Xiao, Qingxin,et al."Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network".BMC BIOINFORMATICS 20(2019).

入库方式： OAI收割

来源：合肥物质科学研究院

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