FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387121444> ?p ?o ?g. }

• W4387121444 endingPage "3593" @default.
• W4387121444 startingPage "3593" @default.
• W4387121444 abstract "Due to the dark red surface of ripe fresh peaches, their internal injury defects cannot be detected using the naked eye and conventional images. The rapid and accurate detection of fresh peach defects can improve the efficiency of fresh peach classification. The goal of this paper was to develop a nondestructive approach to simultaneously detecting internal injury defects and external injuries in fresh peaches. First, we collected spectral data from 347 Kubo peach samples using hyperspectral imaging technology (900–1700 nm) and carried out pretreatment. Four methods (the competitive adaptive reweighting algorithm (CARS), the combination of CARS and the average influence value algorithm (CARS-MIV), the combination of CARS and the successive projections algorithm (CARS-SPA), and the combination of CARS and uninformative variable elimination (CARS-UVE)) were used to extract the characteristic wavelength. Based on the characteristic wavelength extracted using the above methods, a genetic algorithm optimization support vector machine (GA-SVM) model and a least-squares support vector machine (LS-SVM) model were used to establish classification models. The results show that the combination of CARS and other feature wavelength extraction methods can effectively improve the prediction accuracy of the model when the number of wavelengths is small. Among them, the discriminant accuracy of the CARS-MIV-GA-SVM model reaches 93.15%. In summary, hyperspectral imaging technology can accomplish the accurate detection of Kubo peaches defects, and provides feasible ideas for the automatic classification of Kubo peaches." @default.
• W4387121444 created "2023-09-29" @default.
• W4387121444 creator A5022771725 @default.
• W4387121444 creator A5024176882 @default.
• W4387121444 creator A5028550692 @default.
• W4387121444 creator A5049284930 @default.
• W4387121444 creator A5064995289 @default.
• W4387121444 date "2023-09-27" @default.
• W4387121444 modified "2023-10-15" @default.
• W4387121444 title "Research on Defect Detection in Kubo Peach Based on Hyperspectral Imaging Technology Combined with CARS-MIV-GA-SVM Method" @default.
• W4387121444 cites W1969939319 @default.
• W4387121444 cites W1981615049 @default.
• W4387121444 cites W2054266142 @default.
• W4387121444 cites W2150594510 @default.
• W4387121444 cites W2495971917 @default.
• W4387121444 cites W2734761119 @default.
• W4387121444 cites W2901211777 @default.
• W4387121444 cites W2945066229 @default.
• W4387121444 cites W2997388094 @default.
• W4387121444 cites W3033380074 @default.
• W4387121444 cites W3048872039 @default.
• W4387121444 cites W3082601191 @default.
• W4387121444 cites W3121523561 @default.
• W4387121444 cites W3176565073 @default.
• W4387121444 cites W3214385005 @default.
• W4387121444 cites W4206594064 @default.
• W4387121444 cites W4304092796 @default.
• W4387121444 doi "https://doi.org/10.3390/foods12193593" @default.
• W4387121444 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37835246" @default.
• W4387121444 hasPublicationYear "2023" @default.
• W4387121444 type Work @default.
• W4387121444 citedByCount "0" @default.
• W4387121444 crossrefType "journal-article" @default.
• W4387121444 hasAuthorship W4387121444A5022771725 @default.
• W4387121444 hasAuthorship W4387121444A5024176882 @default.
• W4387121444 hasAuthorship W4387121444A5028550692 @default.
• W4387121444 hasAuthorship W4387121444A5049284930 @default.
• W4387121444 hasAuthorship W4387121444A5064995289 @default.
• W4387121444 hasBestOaLocation W43871214441 @default.
• W4387121444 hasConcept C11413529 @default.
• W4387121444 hasConcept C119857082 @default.
• W4387121444 hasConcept C12267149 @default.
• W4387121444 hasConcept C153180895 @default.
• W4387121444 hasConcept C154945302 @default.
• W4387121444 hasConcept C159078339 @default.
• W4387121444 hasConcept C41008148 @default.
• W4387121444 hasConcept C8880873 @default.
• W4387121444 hasConceptScore W4387121444C11413529 @default.
• W4387121444 hasConceptScore W4387121444C119857082 @default.
• W4387121444 hasConceptScore W4387121444C12267149 @default.
• W4387121444 hasConceptScore W4387121444C153180895 @default.
• W4387121444 hasConceptScore W4387121444C154945302 @default.
• W4387121444 hasConceptScore W4387121444C159078339 @default.
• W4387121444 hasConceptScore W4387121444C41008148 @default.
• W4387121444 hasConceptScore W4387121444C8880873 @default.
• W4387121444 hasIssue "19" @default.
• W4387121444 hasLocation W43871214441 @default.
• W4387121444 hasLocation W43871214442 @default.
• W4387121444 hasOpenAccess W4387121444 @default.
• W4387121444 hasPrimaryLocation W43871214441 @default.
• W4387121444 hasRelatedWork W2019190440 @default.
• W4387121444 hasRelatedWork W2027399350 @default.
• W4387121444 hasRelatedWork W2044184146 @default.
• W4387121444 hasRelatedWork W2060875994 @default.
• W4387121444 hasRelatedWork W2070598848 @default.
• W4387121444 hasRelatedWork W2072166414 @default.
• W4387121444 hasRelatedWork W2112959154 @default.
• W4387121444 hasRelatedWork W2113981829 @default.
• W4387121444 hasRelatedWork W3034375524 @default.
• W4387121444 hasRelatedWork W3209970181 @default.
• W4387121444 hasVolume "12" @default.
• W4387121444 isParatext "false" @default.
• W4387121444 isRetracted "false" @default.
• W4387121444 workType "article" @default.