Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/285868
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dc.date.accessioned2020-03-26T08:06:59Z-
dc.date.available2020-03-26T08:06:59Z-
dc.identifier.urihttp://hdl.handle.net/10603/285868-
dc.description.abstractIn Agriculture Sciences, detection of diseases is one of the most challenging tasks. Sometimes newlineagricultural experts need to take help of various sources to identify the diseases of plants. The newlinemisinterpretations of plant diseases often lead to wrong pesticide selection, resulting in newlinedamage of crops. Hence the automatic recognition of the diseases at earlier stages is important newlineas well as economical for the farmers point of view. For this, proper segmentation of diseased newlinepart from the leaf in an accurate way is of utmost importance to diagnose the disease at earlier newlinestage. But, its accurate detection has become a challenging task due to presence of noise in the newlinedigitally captured image, variation in background, shape and brightness in diseased images. newline
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dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSegmentation and Classification of Marsonina Coronaria and Apple Scab Disease in Apple Leaf using Image Processing
dc.title.alternative
dc.creator.researcherSwati Singh
dc.subject.keywordEngineering and Technology,Engineering,Engineering Electrical and Electronic
dc.description.note
dc.contributor.guideSheifali Gupta
dc.publisher.placeChandigarh
dc.publisher.universityChitkara University, Punjab
dc.publisher.institutionFaculty of Electronics
dc.date.registered14/02/2015
dc.date.completed2019
dc.date.awarded26/07/2019
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electronics

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abstract.pdfAttached File86.31 kBAdobe PDFView/Open
annexure iii.pdf4.21 MBAdobe PDFView/Open
annexure ii.pdf305.85 kBAdobe PDFView/Open
annexure i.pdf208.05 kBAdobe PDFView/Open
chapter 1.pdf428.67 kBAdobe PDFView/Open
chapter 2.pdf379.38 kBAdobe PDFView/Open
chapter 3.pdf524.61 kBAdobe PDFView/Open
chapter 4.pdf983.08 kBAdobe PDFView/Open
chapter 5.pdf1.1 MBAdobe PDFView/Open
chapter 6.pdf1.2 MBAdobe PDFView/Open
chapter 7.pdf90.43 kBAdobe PDFView/Open
contents, abstract (1).pdf349.28 kBAdobe PDFView/Open
references.pdf395.88 kBAdobe PDFView/Open
title page.pdf9.91 kBAdobe PDFView/Open


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