Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/293847
Title: Seed Quality Assessment Based on Inferential Sensing Techniques
Researcher: Amit Kumar
Guide(s): Rajeev Ratan
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: MVN University,Palwal
Completed Date: 2020
Abstract: Food 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
Pagination: 
URI: http://hdl.handle.net/10603/293847
Appears in Departments:Electronics & Communication Engineering

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chapter 1.pdf1.72 MBAdobe PDFView/Open
chapter 2.pdf1.6 MBAdobe PDFView/Open
chapter 3.pdf1.58 MBAdobe PDFView/Open
chapter 4.pdf1.57 MBAdobe PDFView/Open
chapter 5.pdf1.54 MBAdobe PDFView/Open
cover page.pdf20.11 kBAdobe PDFView/Open
table of content.pdf27.02 kBAdobe PDFView/Open
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