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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
80_recommendation.pdf | Attached File | 1.54 MB | Adobe PDF | View/Open |
certificate.pdf | 305.17 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.72 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 1.6 MB | Adobe PDF | View/Open | |
chapter 3.pdf | 1.58 MB | Adobe PDF | View/Open | |
chapter 4.pdf | 1.57 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 1.54 MB | Adobe PDF | View/Open | |
cover page.pdf | 20.11 kB | Adobe PDF | View/Open | |
table of content.pdf | 27.02 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: