Detection of Plant Diseases using Image Processing with Machine Learning

Basit Öğe Kaydı
dc.contributor.authorAlyas, R.M.
dc.contributor.authorMohammed, A.S.
dc.date.accessioned2024-09-29T16:20:54Z
dc.date.available2024-09-29T16:20:54Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.descriptionIEEE Turkey Section; Istanbul Atlas Universityen_US
dc.description2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- Istanbul -- 182557en_US
dc.description.abstractThe aim of this article to introduces various image processing and machine learning techniques used to identify plant diseases based on images of diseased plants in order to recognize disease in plants from images and necessary in image processing and machine learning as they apply to the identification and categorization of plant diseases. We meticulously review more content and provide important standards. These characteristics include things like the size of the photo collection, preprocessing, segmentation techniques, classifier types, classifier resolution, and other things. To suggest and arrange our work on the classification and identification of plant diseases, we explain our study here. Then, based on the principal technical solution used in the method, each of these groups is split using machine learning techniques. Photos of plant disease samples were processed using support vector (SVM) and k-mean clustering techniques to extract color and texture information. The results show that the SVM classifier is a very good tool for detecting and identifying plant-borne diseases in agricultural crops. © 2022 IEEE.en_US
dc.identifier.doi10.1109/ICMI55296.2022.9873793
dc.identifier.isbn978-166547483-2
dc.identifier.scopus2-s2.0-85139062142en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICMI55296.2022.9873793
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9394
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage Processingen_US
dc.subjectImage Segmentationen_US
dc.subjectInternet-of -Thingsen_US
dc.subjectMachine Learningen_US
dc.subjectPlant Diseases Detectionen_US
dc.subjectSupport Vector Machinesen_US
dc.titleDetection of Plant Diseases using Image Processing with Machine Learningen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu