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Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1d7aa5696d73481693e6bf725ab0d8d8

Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

About this item

Full title

Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-05, Vol.14 (1), p.10219-10219, Article 10219

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The difficulty of collecting maize leaf lesion characteristics in an environment that undergoes frequent changes, suffers varying illumination from lighting sources, and is influenced by a variety of other factors makes detecting diseases in maize leaves difficult. It is critical to monitor and identify plant leaf diseases during the initial growin...

Alternative Titles

Full title

Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1d7aa5696d73481693e6bf725ab0d8d8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1d7aa5696d73481693e6bf725ab0d8d8

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-60506-8

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