Tomato Leaf Disease Detection and Classification using Convolutional Neural Networks

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dc.authorscopusid57220956556
dc.authorscopusid55807379700
dc.contributor.authorIrmak, G.
dc.contributor.authorSaygılı, Ahmet
dc.date.accessioned2022-05-11T14:15:57Z
dc.date.available2022-05-11T14:15:57Z
dc.date.issued2020
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305
dc.description.abstractAutomatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture and increase productivity in agriculture. In this study, the major tomato leaf diseases that significantly affect tomato efficiency were examined and the convolutional neural networks deep learning method was applied for the automatic classification of these diseases. It is thought that the model applied in this study can also be applied on other agricultural crops, so that the contribution of image processing to agriculture will increase gradually. This study can also be used for a robot that can complete the detection and classification of plant diseases automatically by performing a tour of inspection in a particular region. © 2020 IEEE.
dc.identifier.doi10.1109/ASYU50717.2020.9259832
dc.identifier.isbn978-1728191362
dc.identifier.scopus2-s2.0-85097932733
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259832
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6130
dc.indekslendigikaynakScopus
dc.institutionauthorIrmak, G.
dc.institutionauthorSaygılı, Ahmet
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClassification
dc.subjectConvolutional Neural Networks
dc.subjectDeep Learning
dc.subjectImage Processing in Agriculture
dc.subjectTomato Leaf Diseases
dc.subjectAgricultural robots
dc.subjectConvolution
dc.subjectCrops
dc.subjectDeep learning
dc.subjectFruits
dc.subjectImage enhancement
dc.subjectIntelligent systems
dc.subjectLearning systems
dc.subjectMedical imaging
dc.subjectAgricultural crops
dc.subjectAutomatic classification
dc.subjectLearning methods
dc.subjectMedical fields
dc.subjectPlant disease
dc.subjectTomato leaf
dc.subjectConvolutional neural networks
dc.titleTomato Leaf Disease Detection and Classification using Convolutional Neural Networks
dc.title.alternativeEvrişimli Sinir A?lari ile Domates Yapra?i Hastalik Tespiti ve Siniflandirmasi]
dc.typeConference Object

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