LeafLife: Deep Learning Based Plant Disease Detection Application

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dc.contributor.authorSoyer, Mehmet Samil
dc.contributor.authorYilmaz, Can
dc.contributor.authorOzcan, Ismail Mervan
dc.contributor.authorCogen, Fatih
dc.contributor.authorYildiz, Tuba Çonka
dc.date.accessioned2025-02-20T08:46:31Z
dc.date.available2025-02-20T08:46:31Z
dc.date.issued2021
dc.departmentTürk-Alman Üniversitesien_US
dc.description13th International Conference on Electrical and Electronics Engineering, ELECO 2021 -- 25 November 2021 through 27 November 2021 -- Virtual, Bursa -- 176537en_US
dc.description.abstractIn this research, using image processing and Convolutional Neural Networks (CNN) together, the detection and classification of diseases in terrestrial plants have been carried out. A CNN was created and developed using a data set containing leaf images of healthy and sick plants. The training of the model was made over a data set of various leaf images containing 87867 images with 98.88% accuracy. In addition, using the same data set, an Android-based application has been developed to detect diseases of plants. Through this application, by taking a photograph of the leaf that is thought to have a disease, it is possible to determine in advance, whether the leaf is really sick and what kind of disease it has. In this way, it is possible to intervene in the spread of the disease as soon as possible. © 2021 Chamber of Turkish Electrical Engineers.
dc.description.sponsorshipTurkish-German University Scientific Research Projects Commission, (2021BM03)
dc.identifier.doi10.23919/ELECO54474.2021.9677785
dc.identifier.endpage402en_US
dc.identifier.isbn978-605011437-9
dc.identifier.scopus2-s2.0-85125220224
dc.identifier.startpage398en_US
dc.identifier.urihttps://doi.org/10.23919/ELECO54474.2021.9677785
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1767
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250220
dc.subjectDeep learningen_US
dc.subjectImage processingen_US
dc.subjectConvolutional neural networken_US
dc.subjectData seten_US
dc.subjectDisease detectionen_US
dc.subjectImages processingen_US
dc.subjectLeaf imagesen_US
dc.subjectPlant diseaseen_US
dc.subjectTerrestrial plantsen_US
dc.subjectConvolutional neural networksen_US
dc.titleLeafLife: Deep Learning Based Plant Disease Detection Application
dc.typeConference Object

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