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Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Frame...

Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Frame...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3107679360

Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework

About this item

Full title

Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework

Publisher

Edmonton: International Information and Engineering Technology Association (IIETA)

Journal title

Traitement du signal, 2024-08, Vol.41 (4), p.1667

Language

Formats

Publication information

Publisher

Edmonton: International Information and Engineering Technology Association (IIETA)

More information

Scope and Contents

Contents

Tomatoes are a noteworthy horticultural crop that has considerable importance in a diverse range of culinary traditions. At now, the primary concern for food security is in the realm of plant diseases. Researchers are actively working towards developing a streamlined approach to detect and diagnose illnesses in their early stages, with the ultimate...

Alternative Titles

Full title

Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3107679360

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3107679360

Other Identifiers

ISSN

0765-0019

E-ISSN

1958-5608

DOI

10.18280/ts.410403

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