Plant Disease Recognition Model Based on Improved YOLOv5
Plant Disease Recognition Model Based on Improved YOLOv5
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Author / Creator
Chen, Zhaoyi , Wu, Ruhui , Lin, Yiyan , Li, Chuyu , Chen, Siyu , Yuan, Zhineng , Chen, Shiwei and Zou, Xiangjun
Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
To accurately recognize plant diseases under complex natural conditions, an improved plant disease-recognition model based on the original YOLOv5 network model was established. First, a new InvolutionBottleneck module was used to reduce the numbers of parameters and calculations, and to capture long-distance information in the space. Second, an SE...
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Full title
Plant Disease Recognition Model Based on Improved YOLOv5
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_5ffd4d19bb694c9fb72215ee743d0250
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ffd4d19bb694c9fb72215ee743d0250
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ISSN
2073-4395
E-ISSN
2073-4395
DOI
10.3390/agronomy12020365