An Automatic Symptom Based Citrus Plant Disease Detection Using Various Feature Descriptors

dc.contributor.guideSharma, Tripti and Goyal, Bhawna
dc.coverage.spatial
dc.creator.researcherKaur, Bobbinpreet
dc.date.accessioned2022-04-11T06:25:30Z
dc.date.available2022-04-11T06:25:30Z
dc.date.awarded
dc.date.completed2020
dc.date.registered
dc.description.abstractIn recent times, the images and videos have emerged as one of the most important newlineinformation source depicting the real time scenarios. Digital images nowadays serve as newlineinput for many applications and replacing the manual methods due to their capabilities of newline3D scene representation in 2D plane. The capabilities of digital images along with newlineutilization of machine learning methodologies are showing promising accuracies in many newlineapplications of prediction and pattern recognition. One of the application fields pertains to newlinedetection of diseases occurring in the plants, which are destroying the widespread fields. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/373061
dc.languageEnglish
dc.publisher.institutionDept of Electronics and Communication Engineering
dc.publisher.placeMohali
dc.publisher.universityChandigarh University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titleAn Automatic Symptom Based Citrus Plant Disease Detection Using Various Feature Descriptors
dc.title.alternative
dc.type.degreePh.D.

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