Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214599619> ?p ?o ?g. }
- W4214599619 endingPage "1775" @default.
- W4214599619 startingPage "1775" @default.
- W4214599619 abstract "Ensuring the quality of fresh-cut vegetables is the greatest challenge for the food industry and is equally as important to consumers (and their health). Several investigations have proven the necessity of advanced technology for detecting foreign materials (FMs) in fresh-cut vegetables. In this study, the possibility of using near infrared spectral analysis as a potential technique was investigated to identify various types of FMs in seven common fresh-cut vegetables by selecting important wavebands. Various waveband selection methods, such as the weighted regression coefficient (WRC), variable importance in projection (VIP), sequential feature selection (SFS), successive projection algorithm (SPA), and interval PLS (iPLS), were used to investigate the optimal multispectral wavebands to classify the FMs and vegetables. The application of selected wavebands was further tested using NIR imaging, and the results showed good potentiality by identifying 99 out of 107 FMs. The results indicate the high applicability of the multispectral NIR imaging technique to detect FMs in fresh-cut vegetables for industrial application." @default.
- W4214599619 created "2022-03-02" @default.
- W4214599619 creator A5033712125 @default.
- W4214599619 creator A5034671201 @default.
- W4214599619 creator A5058866949 @default.
- W4214599619 creator A5064164932 @default.
- W4214599619 creator A5072914460 @default.
- W4214599619 creator A5074950579 @default.
- W4214599619 creator A5079453190 @default.
- W4214599619 date "2022-02-24" @default.
- W4214599619 modified "2023-10-01" @default.
- W4214599619 title "Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables" @default.
- W4214599619 cites W1582684391 @default.
- W4214599619 cites W1798843905 @default.
- W4214599619 cites W1983938155 @default.
- W4214599619 cites W1987091130 @default.
- W4214599619 cites W1988815431 @default.
- W4214599619 cites W1992031865 @default.
- W4214599619 cites W1995966489 @default.
- W4214599619 cites W2007808016 @default.
- W4214599619 cites W2007838376 @default.
- W4214599619 cites W2012358846 @default.
- W4214599619 cites W2014696066 @default.
- W4214599619 cites W2031205679 @default.
- W4214599619 cites W2038550525 @default.
- W4214599619 cites W2040629518 @default.
- W4214599619 cites W2057449738 @default.
- W4214599619 cites W2057561052 @default.
- W4214599619 cites W2061938824 @default.
- W4214599619 cites W2062914139 @default.
- W4214599619 cites W2065084513 @default.
- W4214599619 cites W2065746048 @default.
- W4214599619 cites W2069940341 @default.
- W4214599619 cites W2073062570 @default.
- W4214599619 cites W2081182951 @default.
- W4214599619 cites W2081990094 @default.
- W4214599619 cites W2083866693 @default.
- W4214599619 cites W2097216007 @default.
- W4214599619 cites W2100458127 @default.
- W4214599619 cites W2129208771 @default.
- W4214599619 cites W2166654710 @default.
- W4214599619 cites W2168478992 @default.
- W4214599619 cites W2321812848 @default.
- W4214599619 cites W2342453702 @default.
- W4214599619 cites W2558213163 @default.
- W4214599619 cites W2587012051 @default.
- W4214599619 cites W2763148304 @default.
- W4214599619 cites W2767463546 @default.
- W4214599619 cites W2792343866 @default.
- W4214599619 cites W2792653239 @default.
- W4214599619 cites W2807326971 @default.
- W4214599619 cites W2835268395 @default.
- W4214599619 cites W2896453781 @default.
- W4214599619 cites W2896747286 @default.
- W4214599619 cites W2921705675 @default.
- W4214599619 cites W2940586831 @default.
- W4214599619 cites W2988932415 @default.
- W4214599619 cites W2995560755 @default.
- W4214599619 cites W3092750060 @default.
- W4214599619 cites W4200386111 @default.
- W4214599619 cites W84407114 @default.
- W4214599619 doi "https://doi.org/10.3390/s22051775" @default.
- W4214599619 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35270921" @default.
- W4214599619 hasPublicationYear "2022" @default.
- W4214599619 type Work @default.
- W4214599619 citedByCount "7" @default.
- W4214599619 countsByYear W42145996192022 @default.
- W4214599619 countsByYear W42145996192023 @default.
- W4214599619 crossrefType "journal-article" @default.
- W4214599619 hasAuthorship W4214599619A5033712125 @default.
- W4214599619 hasAuthorship W4214599619A5034671201 @default.
- W4214599619 hasAuthorship W4214599619A5058866949 @default.
- W4214599619 hasAuthorship W4214599619A5064164932 @default.
- W4214599619 hasAuthorship W4214599619A5072914460 @default.
- W4214599619 hasAuthorship W4214599619A5074950579 @default.
- W4214599619 hasAuthorship W4214599619A5079453190 @default.
- W4214599619 hasBestOaLocation W42145996191 @default.
- W4214599619 hasConcept C11413529 @default.
- W4214599619 hasConcept C148483581 @default.
- W4214599619 hasConcept C153180895 @default.
- W4214599619 hasConcept C154945302 @default.
- W4214599619 hasConcept C173163844 @default.
- W4214599619 hasConcept C205649164 @default.
- W4214599619 hasConcept C39432304 @default.
- W4214599619 hasConcept C41008148 @default.
- W4214599619 hasConcept C57493831 @default.
- W4214599619 hasConcept C62649853 @default.
- W4214599619 hasConcept C81917197 @default.
- W4214599619 hasConceptScore W4214599619C11413529 @default.
- W4214599619 hasConceptScore W4214599619C148483581 @default.
- W4214599619 hasConceptScore W4214599619C153180895 @default.
- W4214599619 hasConceptScore W4214599619C154945302 @default.
- W4214599619 hasConceptScore W4214599619C173163844 @default.
- W4214599619 hasConceptScore W4214599619C205649164 @default.
- W4214599619 hasConceptScore W4214599619C39432304 @default.
- W4214599619 hasConceptScore W4214599619C41008148 @default.
- W4214599619 hasConceptScore W4214599619C57493831 @default.
- W4214599619 hasConceptScore W4214599619C62649853 @default.