Feature fusion based artificial neural network model for disease detection of bean leaves

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dc.contributor.authorÖnler, Eray
dc.date.accessioned2023-05-06T17:23:38Z
dc.date.available2023-05-06T17:23:38Z
dc.date.issued2023
dc.departmentFakülteler, Ziraat Fakültesi, Biyosistem Mühendisliği Bölümü
dc.description.abstractPlant diseases reduce yield and quality in agricultural production by 20-40%. Leaf diseases cause 42% of agricultural production losses. Image processing techniques based on artificial neural networks are used for the non-destructive detection of leaf diseases on the plant. Since leaf diseases have a complex structure, it is necessary to increase the accuracy and generalizability of the developed machine learning models. In this study, an artificial neural network model for bean leaf disease detection was developed by fusing descriptive vectors obtained from bean leaves with HOG (Histogram Oriented Gradient) feature extraction and transfer learning feature extraction methods. The model using feature fusion has higher accuracy than only HOG feature extraction and only transfer learning feature extraction models. Also, the feature fusion model converged to the solution faster. Feature fusion model had 98.33, 98.40 and 99.24% accuracy in training, validation, and test datasets, respectively. The study shows that the proposed method can effectively capture interclass distinguishing features faster and more accurately.
dc.identifier.doi10.3934/era.2023122
dc.identifier.endpage2427
dc.identifier.issn2688-1594
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85150463357
dc.identifier.scopusqualityQ3
dc.identifier.startpage2409
dc.identifier.urihttps://doi.org/10.3934/era.2023122
dc.identifier.urihttps://hdl.handle.net/20.500.11776/12209
dc.identifier.volume31
dc.identifier.wosWOS:000942685200002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÖnler, Eray
dc.language.isoen
dc.publisherAmer Inst Mathematical Sciences-Aims
dc.relation.ispartofElectronic Research Archive
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectleaf disease
dc.subjectartificial neural network
dc.subjectfeature fusion
dc.subjectdeep neural networks
dc.subjectcomputer vision
dc.titleFeature fusion based artificial neural network model for disease detection of bean leaves
dc.typeArticle

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