Log in to save to my catalogue

Plant Disease Recognition Model Based on Improved YOLOv5

Plant Disease Recognition Model Based on Improved YOLOv5

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ffd4d19bb694c9fb72215ee743d0250

Plant Disease Recognition Model Based on Improved YOLOv5

About this item

Full title

Plant Disease Recognition Model Based on Improved YOLOv5

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2022-02, Vol.12 (2), p.365

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

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...

Alternative Titles

Full title

Plant Disease Recognition Model Based on Improved YOLOv5

Identifiers

Primary Identifiers

Record Identifier

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

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy12020365

How to access this item