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A robust deep learning approach for tomato plant leaf disease localization and classification

A robust deep learning approach for tomato plant leaf disease localization and classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33da5247d5c74a379f7b0c14d393a172

A robust deep learning approach for tomato plant leaf disease localization and classification

About this item

Full title

A robust deep learning approach for tomato plant leaf disease localization and classification

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-11, Vol.12 (1), p.18568-18568, Article 18568

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food quantity. Although, extensive work has been presented by the researcher for the tomato plant disease classification, however, the timely localization and identification of various tomato lea...

Alternative Titles

Full title

A robust deep learning approach for tomato plant leaf disease localization and classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_33da5247d5c74a379f7b0c14d393a172

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33da5247d5c74a379f7b0c14d393a172

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-21498-5

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