Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/394699
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dc.coverage.spatial
dc.date.accessioned2022-07-22T06:27:19Z-
dc.date.available2022-07-22T06:27:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/394699-
dc.description.abstractImage processing is an eand#64256;ective tool for analyzing images used for newlinethe improvement of the precision of agriculture. These techniques newlinecan save time and money for the farmers by incorporating intel- newlineligent imaging techniques for various agricultural needs. Out of newlinediand#64256;erent agriculture applications, image processing, soil detection, newlineand diseased leaf identiand#64257;cation are signiand#64257;cant automated image newlineprocessing areas. The automation of identifying diseased leaves newlineand soil prediction will allow the farmers to analyze various fac- newlinetors without expert advice. newlineIn recent years, image processing applications for precise agricul- newlineture is proliferating. Several automated tools are being developed newlinefor the betterment of agriculture. These automated image pro- newlinecessing tools may include studying satellite images and developing newlinevarious image processing sensors to study farming land. However, newlinethere are still challenges available in the analysis of agriculture newlineimages for increasing precision. Therefore, this work will focus on newlinedesigning and developing various image processing tools for preci- newlinesion agriculture. newline
dc.format.extent2.53mb
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Development of Image Processing Techniques for Precision Agriculture
dc.title.alternative
dc.creator.researcherRahul Agarwal
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNarpat Singh Shekhawat
dc.publisher.placeKota
dc.publisher.universityRajasthan Technical University, Kota
dc.publisher.institutionComputer Engineering
dc.date.registered2014
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Engineering

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80_recommendation.pdfAttached File252.72 kBAdobe PDFView/Open
abstract.pdf26.86 kBAdobe PDFView/Open
acknowledgements.pdf25.77 kBAdobe PDFView/Open
bibliography.pdf122.05 kBAdobe PDFView/Open
certifecate -.pdf252.72 kBAdobe PDFView/Open
chapter 1.pdf153.87 kBAdobe PDFView/Open
chapter 2.pdf911.15 kBAdobe PDFView/Open
chapter 3.pdf509.06 kBAdobe PDFView/Open
chapter 4.pdf640.45 kBAdobe PDFView/Open
chapter 5.pdf1.04 MBAdobe PDFView/Open
chapter 6.pdf38.08 kBAdobe PDFView/Open
contents.pdf39.03 kBAdobe PDFView/Open
declaration.pdf574.11 kBAdobe PDFView/Open
tables & figures.pdf57 kBAdobe PDFView/Open
title.pdf29.38 kBAdobe PDFView/Open


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