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A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves

A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54a1da5fe5df4c0eb7574fa6af7ce7e5

A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves

About this item

Full title

A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2024-07, Vol.14 (7), p.1593

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study introduces a You Only Look Once (YOLO) model for detecting diseases in tomato leaves, utilizing YOLOV8s as the underlying framework. The tomato leaf images, both healthy and diseased, were obtained from the Plant Village dataset. These images were then enhanced, implemented, and trained using YOLOV8s using the Ultralytics Hub. The Ultral...

Alternative Titles

Full title

A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_54a1da5fe5df4c0eb7574fa6af7ce7e5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54a1da5fe5df4c0eb7574fa6af7ce7e5

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy14071593

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