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L2MXception: an improved Xception network for classification of peach diseases

L2MXception: an improved Xception network for classification of peach diseases

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b2833e3e2a348c9946e14de07ddb35b

L2MXception: an improved Xception network for classification of peach diseases

About this item

Full title

L2MXception: an improved Xception network for classification of peach diseases

Publisher

England: BioMed Central Ltd

Journal title

Plant methods, 2021-04, Vol.17 (1), p.36-36, Article 36

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data. However, peach disease image data is difficult to collect and samples are imbalance. The pop...

Alternative Titles

Full title

L2MXception: an improved Xception network for classification of peach diseases

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0b2833e3e2a348c9946e14de07ddb35b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b2833e3e2a348c9946e14de07ddb35b

Other Identifiers

ISSN

1746-4811

E-ISSN

1746-4811

DOI

10.1186/s13007-021-00736-3

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