Synergistic use of handcrafted and deep learning features for tomato leaf disease classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Synergistic use of handcrafted and deep learning features for tomato leaf disease classification ; volume:14 ; number:1 ; day:5 ; month:11 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (5.11.2024), 1-16, 12.2024

Creator: Bouni, Mohamed
Hssina, Badr
Douzi, Khadija
Douzi, Samira

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-71225-5

URN: urn:nbn:de:101:1-2501232109322.455573114922

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Bouni, Mohamed
Hssina, Badr
Douzi, Khadija
Douzi, Samira
SpringerLink (Online service)

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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification

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Other Objects (12)

An optimized capsule neural networks for tomato leaf disease classification

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification

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Transcriptional and epigenetic changes during tomato yellow leaf curl virus infection in tomato

Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques

Highly sensitive serological methods for detecting tomato yellow leaf curl virus in tomato plants and whiteflies

Metagenomic analyses and genetic diversity of Tomato leaf curl Arusha virus affecting tomato plants in Kenya

Prediction of annual generations of the tomato leaf miner Tuta absoluta on tomato cultivations in Egypt

Infectious clones of Tomato leaf curl Palampur virus with a defective DNA B and their pseudo-recombination with Tomato leaf curl New Delhi virus

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

Infection of tomato in Iraq with tomato leaf curl Palampur virus and multiple variants of tomato yellow leaf curl virus

Leaf-associated microbiomes of grafted tomato plants

Transcriptional and epigenetic changes during tomato yellow leaf curl virus infection in tomato

Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques

Highly sensitive serological methods for detecting tomato yellow leaf curl virus in tomato plants and whiteflies

Metagenomic analyses and genetic diversity of Tomato leaf curl Arusha virus affecting tomato plants in Kenya

Prediction of annual generations of the tomato leaf miner Tuta absoluta on tomato cultivations in Egypt

Infectious clones of Tomato leaf curl Palampur virus with a defective DNA B and their pseudo-recombination with Tomato leaf curl New Delhi virus

Features of crossing-over in virus-infected tomato

An optimized capsule neural networks for tomato leaf disease classification

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification

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

Infection of tomato in Iraq with tomato leaf curl Palampur virus and multiple variants of tomato yellow leaf curl virus

Leaf-associated microbiomes of grafted tomato plants

Transcriptional and epigenetic changes during tomato yellow leaf curl virus infection in tomato

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Highly sensitive serological methods for detecting tomato yellow leaf curl virus in tomato plants and whiteflies

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Prediction of annual generations of the tomato leaf miner Tuta absoluta on tomato cultivations in Egypt

Infectious clones of Tomato leaf curl Palampur virus with a defective DNA B and their pseudo-recombination with Tomato leaf curl New Delhi virus

Features of crossing-over in virus-infected tomato

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