Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285012945> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4285012945 endingPage "995" @default.
- W4285012945 startingPage "995" @default.
- W4285012945 abstract "The existence of dockage, unripe kernels, and foreign materials in chickpea mixtures is one of the main concerns during chickpea storage and marketing. Novel algorithms based on image processing were developed to detect undesirable, foreign materials, and matured chickpea kernels in the chickpea mixture. Images of 270 objects including 54 sound samples and 36 samples of each undesired object were prepared and features of these acquired images were extracted. Different models based on linear discriminant analysis (LDA), support vector machine (SVM), and artificial neural networks (ANN) methods were developed by using MATLAB. Three classification algorithms based on LDA, SVM, and ANN methods were developed. The classification accuracy in training, testing, and overall detection showed the superiority of ANN (99.4, 92.6, and 94.4%, respectively) and LDA (91.1, 94.0, and 91.9%, respectively) over the SVM (100, 53.7, and 88.5%, respectively). The developed image processing technique can be incorporated with a vision-based real-time system." @default.
- W4285012945 created "2022-07-12" @default.
- W4285012945 creator A5004932825 @default.
- W4285012945 creator A5040440987 @default.
- W4285012945 creator A5060431451 @default.
- W4285012945 date "2022-07-10" @default.
- W4285012945 modified "2023-10-17" @default.
- W4285012945 title "Detection of Unripe Kernels and Foreign Materials in Chickpea Mixtures Using Image Processing" @default.
- W4285012945 cites W1546791837 @default.
- W4285012945 cites W1981164212 @default.
- W4285012945 cites W1983791090 @default.
- W4285012945 cites W2026606622 @default.
- W4285012945 cites W2029509610 @default.
- W4285012945 cites W2046685933 @default.
- W4285012945 cites W2063079640 @default.
- W4285012945 cites W2063907334 @default.
- W4285012945 cites W2064782300 @default.
- W4285012945 cites W2082487598 @default.
- W4285012945 cites W2110548602 @default.
- W4285012945 cites W2156585878 @default.
- W4285012945 cites W2324738403 @default.
- W4285012945 cites W2602969294 @default.
- W4285012945 cites W2803587067 @default.
- W4285012945 cites W2862045772 @default.
- W4285012945 cites W2888043900 @default.
- W4285012945 cites W2888728157 @default.
- W4285012945 cites W2906336830 @default.
- W4285012945 cites W2982012192 @default.
- W4285012945 cites W3001031698 @default.
- W4285012945 cites W3001322519 @default.
- W4285012945 cites W3008607779 @default.
- W4285012945 cites W3026708784 @default.
- W4285012945 cites W3034613445 @default.
- W4285012945 cites W3037892792 @default.
- W4285012945 cites W3084669147 @default.
- W4285012945 cites W3113678014 @default.
- W4285012945 cites W3172341971 @default.
- W4285012945 cites W4220692670 @default.
- W4285012945 cites W941326691 @default.
- W4285012945 doi "https://doi.org/10.3390/agriculture12070995" @default.
- W4285012945 hasPublicationYear "2022" @default.
- W4285012945 type Work @default.
- W4285012945 citedByCount "4" @default.
- W4285012945 countsByYear W42850129452022 @default.
- W4285012945 countsByYear W42850129452023 @default.
- W4285012945 crossrefType "journal-article" @default.
- W4285012945 hasAuthorship W4285012945A5004932825 @default.
- W4285012945 hasAuthorship W4285012945A5040440987 @default.
- W4285012945 hasAuthorship W4285012945A5060431451 @default.
- W4285012945 hasBestOaLocation W42850129451 @default.
- W4285012945 hasConcept C111919701 @default.
- W4285012945 hasConcept C114614502 @default.
- W4285012945 hasConcept C115961682 @default.
- W4285012945 hasConcept C119857082 @default.
- W4285012945 hasConcept C12267149 @default.
- W4285012945 hasConcept C153180895 @default.
- W4285012945 hasConcept C154945302 @default.
- W4285012945 hasConcept C2780365114 @default.
- W4285012945 hasConcept C33923547 @default.
- W4285012945 hasConcept C41008148 @default.
- W4285012945 hasConcept C50644808 @default.
- W4285012945 hasConcept C69738355 @default.
- W4285012945 hasConcept C74193536 @default.
- W4285012945 hasConcept C9417928 @default.
- W4285012945 hasConceptScore W4285012945C111919701 @default.
- W4285012945 hasConceptScore W4285012945C114614502 @default.
- W4285012945 hasConceptScore W4285012945C115961682 @default.
- W4285012945 hasConceptScore W4285012945C119857082 @default.
- W4285012945 hasConceptScore W4285012945C12267149 @default.
- W4285012945 hasConceptScore W4285012945C153180895 @default.
- W4285012945 hasConceptScore W4285012945C154945302 @default.
- W4285012945 hasConceptScore W4285012945C2780365114 @default.
- W4285012945 hasConceptScore W4285012945C33923547 @default.
- W4285012945 hasConceptScore W4285012945C41008148 @default.
- W4285012945 hasConceptScore W4285012945C50644808 @default.
- W4285012945 hasConceptScore W4285012945C69738355 @default.
- W4285012945 hasConceptScore W4285012945C74193536 @default.
- W4285012945 hasConceptScore W4285012945C9417928 @default.
- W4285012945 hasIssue "7" @default.
- W4285012945 hasLocation W42850129451 @default.
- W4285012945 hasOpenAccess W4285012945 @default.
- W4285012945 hasPrimaryLocation W42850129451 @default.
- W4285012945 hasRelatedWork W1809065030 @default.
- W4285012945 hasRelatedWork W2041399278 @default.
- W4285012945 hasRelatedWork W2136184105 @default.
- W4285012945 hasRelatedWork W2146076056 @default.
- W4285012945 hasRelatedWork W2350891938 @default.
- W4285012945 hasRelatedWork W2380927352 @default.
- W4285012945 hasRelatedWork W2891847116 @default.
- W4285012945 hasRelatedWork W3013515612 @default.
- W4285012945 hasRelatedWork W2187500075 @default.
- W4285012945 hasRelatedWork W2345184372 @default.
- W4285012945 hasVolume "12" @default.
- W4285012945 isParatext "false" @default.
- W4285012945 isRetracted "false" @default.
- W4285012945 workType "article" @default.