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High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and...

High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_64d9e766b1ae4f03a2806d6d8182a937

High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm

About this item

Full title

High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm

Publisher

Switzerland: MDPI AG

Journal title

Plants (Basel), 2023-01, Vol.12 (1), p.200

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Protecting crop yields is the most important aspect of agricultural production, and one of the important measures in preserving yields is the control of crop pests and diseases; therefore, the identification of crop pests and diseases is of irreplaceable importance. In recent years, with the maturity of computer vision technology, more possibilitie...

Alternative Titles

Full title

High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_64d9e766b1ae4f03a2806d6d8182a937

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_64d9e766b1ae4f03a2806d6d8182a937

Other Identifiers

ISSN

2223-7747

E-ISSN

2223-7747

DOI

10.3390/plants12010200

How to access this item