Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017093603> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2017093603 endingPage "147" @default.
- W2017093603 startingPage "135" @default.
- W2017093603 abstract "It is a common belief that a sweet Iyokan orange fruit is reddish in color, of medium size, with a height to width ratio less than one, and having a glossy surface. However, the criteria are ambiguous and vary from people to people and locations to locations. In this paper, sugar content and acid content of Iyokan orange fruit were evaluated using a machine vision system. Images of 30 Iyokan orange fruits were acquired by a color TV camera. Features representing fruit color, shape, and roughness of fruit surface were extracted from the images. The features included R/G color component ratio, Feret's diameter ratio, and textural features. These features and weight of the fruit were entered to the input layers of neural networks, while sugar content or pH of the fruit was used as the values of the output layers. Several neural networks were found to be able to predict the sugar content or pH from the fruit appearance with a reasonable accuracy." @default.
- W2017093603 created "2016-06-24" @default.
- W2017093603 creator A5001560491 @default.
- W2017093603 creator A5010989487 @default.
- W2017093603 creator A5024048538 @default.
- W2017093603 creator A5079493738 @default.
- W2017093603 date "2000-10-01" @default.
- W2017093603 modified "2023-10-16" @default.
- W2017093603 title "Machine vision based quality evaluation of Iyokan orange fruit using neural networks" @default.
- W2017093603 cites W2042954896 @default.
- W2017093603 cites W2044465660 @default.
- W2017093603 cites W2049245979 @default.
- W2017093603 cites W2074836683 @default.
- W2017093603 doi "https://doi.org/10.1016/s0168-1699(00)00141-1" @default.
- W2017093603 hasPublicationYear "2000" @default.
- W2017093603 type Work @default.
- W2017093603 sameAs 2017093603 @default.
- W2017093603 citedByCount "92" @default.
- W2017093603 countsByYear W20170936032012 @default.
- W2017093603 countsByYear W20170936032013 @default.
- W2017093603 countsByYear W20170936032014 @default.
- W2017093603 countsByYear W20170936032015 @default.
- W2017093603 countsByYear W20170936032016 @default.
- W2017093603 countsByYear W20170936032017 @default.
- W2017093603 countsByYear W20170936032018 @default.
- W2017093603 countsByYear W20170936032019 @default.
- W2017093603 countsByYear W20170936032020 @default.
- W2017093603 countsByYear W20170936032021 @default.
- W2017093603 countsByYear W20170936032022 @default.
- W2017093603 crossrefType "journal-article" @default.
- W2017093603 hasAuthorship W2017093603A5001560491 @default.
- W2017093603 hasAuthorship W2017093603A5010989487 @default.
- W2017093603 hasAuthorship W2017093603A5024048538 @default.
- W2017093603 hasAuthorship W2017093603A5079493738 @default.
- W2017093603 hasConcept C144027150 @default.
- W2017093603 hasConcept C153180895 @default.
- W2017093603 hasConcept C154945302 @default.
- W2017093603 hasConcept C185592680 @default.
- W2017093603 hasConcept C2777108408 @default.
- W2017093603 hasConcept C31903555 @default.
- W2017093603 hasConcept C31972630 @default.
- W2017093603 hasConcept C33923547 @default.
- W2017093603 hasConcept C41008148 @default.
- W2017093603 hasConcept C50644808 @default.
- W2017093603 hasConcept C5339829 @default.
- W2017093603 hasConcept C83082669 @default.
- W2017093603 hasConcept C86803240 @default.
- W2017093603 hasConceptScore W2017093603C144027150 @default.
- W2017093603 hasConceptScore W2017093603C153180895 @default.
- W2017093603 hasConceptScore W2017093603C154945302 @default.
- W2017093603 hasConceptScore W2017093603C185592680 @default.
- W2017093603 hasConceptScore W2017093603C2777108408 @default.
- W2017093603 hasConceptScore W2017093603C31903555 @default.
- W2017093603 hasConceptScore W2017093603C31972630 @default.
- W2017093603 hasConceptScore W2017093603C33923547 @default.
- W2017093603 hasConceptScore W2017093603C41008148 @default.
- W2017093603 hasConceptScore W2017093603C50644808 @default.
- W2017093603 hasConceptScore W2017093603C5339829 @default.
- W2017093603 hasConceptScore W2017093603C83082669 @default.
- W2017093603 hasConceptScore W2017093603C86803240 @default.
- W2017093603 hasIssue "1-2" @default.
- W2017093603 hasLocation W20170936031 @default.
- W2017093603 hasOpenAccess W2017093603 @default.
- W2017093603 hasPrimaryLocation W20170936031 @default.
- W2017093603 hasRelatedWork W1814066406 @default.
- W2017093603 hasRelatedWork W1963914848 @default.
- W2017093603 hasRelatedWork W2031620013 @default.
- W2017093603 hasRelatedWork W2086719721 @default.
- W2017093603 hasRelatedWork W2087929024 @default.
- W2017093603 hasRelatedWork W2225239493 @default.
- W2017093603 hasRelatedWork W2365919483 @default.
- W2017093603 hasRelatedWork W2383067757 @default.
- W2017093603 hasRelatedWork W2394038673 @default.
- W2017093603 hasRelatedWork W3216143833 @default.
- W2017093603 hasVolume "29" @default.
- W2017093603 isParatext "false" @default.
- W2017093603 isRetracted "false" @default.
- W2017093603 magId "2017093603" @default.
- W2017093603 workType "article" @default.