Seed Quality Assessment Based on Inferential Sensing Techniques

dc.contributor.guideRajeev Ratan
dc.coverage.spatial
dc.creator.researcherAmit Kumar
dc.date.accessioned2020-08-07T08:34:53Z
dc.date.available2020-08-07T08:34:53Z
dc.date.awarded
dc.date.completed2020
dc.date.registered01/10/2015
dc.description.abstractFood is necessity of human being, it is cultivated by farmers but the extreme defy is to maintain newlineits better eminence, which is a big challenge of agriculture Industry. The allied industries develop newlinethe various techniques for grain (rice) classification and valuation which are mostly done by newlinemanually. As the manual process is time consuming may vary results as error occurs (human newlineerror), so the solution is available in inferential techniques. The scrutiny of physical appearance newlinesuch as rice size shape, chalkiness, milling degree, bulk density moisture content and whiteness newlinebased on physical and chemical emergence, amylase and gelatinization etc. Oryza Sativa La (Rice) newlineis also a type of food grain consumed by human and cultivated on earth. India and China are two newlinegiant countries in cultivation of rice. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/293848
dc.languageEnglish
dc.publisher.institutionElectronics and Communication Engineering
dc.publisher.placeHaryana
dc.publisher.universityMVN University,Palwal
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titleSeed Quality Assessment Based on Inferential Sensing Techniques
dc.title.alternative
dc.type.degreePh.D.

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