Machine Vision based Non-destructive grading system for post-harvest fruit processing

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dc.contributor.author Priyadarshani, W.M.D
dc.contributor.author Gammuduwaththage, Y.S.
dc.date.accessioned 2021-01-11T09:17:19Z
dc.date.available 2021-01-11T09:17:19Z
dc.date.issued 2020
dc.identifier.citation Machine Vision based Non-destructive grading system for post-harvest fruit processing. IRC-2020, June 2020.SLTC, Sri Lanka. en_US
dc.identifier.uri http://repo.sltc.ac.lk/handle/1/70
dc.language.iso en_US en_US
dc.publisher Sri Lanka Technological campus - IRC en_US
dc.subject Post-harvest processing en_US
dc.subject machine vision, en_US
dc.subject Real-time fruit grading en_US
dc.title Machine Vision based Non-destructive grading system for post-harvest fruit processing en_US
dc.type Other en_US


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