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Hierarchical Deep Learning Approach for Plant Disease Detection

dc.contributor.authorCosta, Joana
dc.contributor.authorSilva, Catarina
dc.contributor.authorRibeiro, Bernardete
dc.date.accessioned2026-07-08T16:40:09Z
dc.date.available2026-07-08T16:40:09Z
dc.date.issued2019
dc.description.abstractIn this paper we propose a hierarchical deep learning approach for plant disease detection. The detection of diseases in plants using deep image approaches is attracting researchers as a way of taking advantage of cutting-edge learning techniques in scenarios where major benefits can be achieved for mankind. In this work, we focus on diseases of three major different agricultural crops: apple, peach and tomato. Using a real-world dataset composed of nearly 24,000 images, including healthy examples, we propose a hierarchical deep learning approach for plant disease detection and compare it with the standard deep learning approaches. Results permit the conclusion that hierarchical approaches can overcome standard approaches in terms of detection performance.eng
dc.identifier.citationCosta, J., Silva, C., Ribeiro, B. (2019). Hierarchical Deep Learning Approach for Plant Disease Detection. In: Morales, A., Fierrez, J., Sánchez, J., Ribeiro, B. (eds) Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science(), vol 11868. Springer, Cham. https://doi.org/10.1007/978-3-030-31321-0_33
dc.identifier.doi10.1007/978-3-030-31321-0_33
dc.identifier.isbn9783030313203
dc.identifier.isbn9783030313210
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/16569
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-030-31321-0_33
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofPattern Recognition and Image Analysis
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleHierarchical Deep Learning Approach for Plant Disease Detectioneng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage393
oaire.citation.startPage383
oaire.citation.titlePattern Recognition and Image Analysis (IbPRIA 2019)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCosta
person.familyNameSilva
person.givenNameJoana
person.givenNameCatarina
person.identifier.ciencia-id1B19-3DDC-BE75
person.identifier.orcid0000-0002-4053-5718
person.identifier.orcid0000-0002-5656-0061
relation.isAuthorOfPublication23d200dc-1a81-4bd9-9a4a-0efc28af6ce4
relation.isAuthorOfPublicationee28e079-5ca7-4842-9094-372c40f75c38
relation.isAuthorOfPublication.latestForDiscovery23d200dc-1a81-4bd9-9a4a-0efc28af6ce4

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