[Application of hyperspectral fluorescence image technology in detection of early rotten oranges].
Identifieur interne : 000660 ( PubMed/Corpus ); précédent : 000659; suivant : 000661[Application of hyperspectral fluorescence image technology in detection of early rotten oranges].
Auteurs : Jiang-Bo Li ; Fu-Jie Wang ; Yi-Bin Ying ; Xiu-Qin RaoSource :
- Guang pu xue yu guang pu fen xi = Guang pu [ 1000-0593 ] ; 2012.
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- MESH :
Abstract
Rottenness is most prevalent and devastating disease that threats citrus fruit. Automatic detection of early rottenness can enhance the competitiveness and profitability of the citrus industry. However, there is no efficient automatic detection technology at this time that could detect this disease. The navel orange was selected as research objective. Hyperspectral fluorescence imaging was used to detect early rottenness in orange. Optimum index factor (OIF) method was applied to identify the optimal band combination. 100% detection rate was achieved based on the optimal bands ratio image and two threshold values. The research showed that the proposed method can effectively overcome the affect from florescence effect because stem damage area and stem also can produce florescence under ultraviolet light. This study will lay a foundation for developing multispectral detection system used in on-line detection of early rottenness fruit.
PubMed: 22497146
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Application of hyperspectral fluorescence image technology in detection of early rotten oranges].</title><author><name sortKey="Li, Jiang Bo" sort="Li, Jiang Bo" uniqKey="Li J" first="Jiang-Bo" last="Li">Jiang-Bo Li</name><affiliation><nlm:affiliation>College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. lijiangbo_1982@tom.com</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Fu Jie" sort="Wang, Fu Jie" uniqKey="Wang F" first="Fu-Jie" last="Wang">Fu-Jie Wang</name></author><author><name sortKey="Ying, Yi Bin" sort="Ying, Yi Bin" uniqKey="Ying Y" first="Yi-Bin" last="Ying">Yi-Bin Ying</name></author><author><name sortKey="Rao, Xiu Qin" sort="Rao, Xiu Qin" uniqKey="Rao X" first="Xiu-Qin" last="Rao">Xiu-Qin Rao</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22497146</idno><idno type="pmid">22497146</idno><idno type="wicri:Area/PubMed/Corpus">000660</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Application of hyperspectral fluorescence image technology in detection of early rotten oranges].</title><author><name sortKey="Li, Jiang Bo" sort="Li, Jiang Bo" uniqKey="Li J" first="Jiang-Bo" last="Li">Jiang-Bo Li</name><affiliation><nlm:affiliation>College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. lijiangbo_1982@tom.com</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Fu Jie" sort="Wang, Fu Jie" uniqKey="Wang F" first="Fu-Jie" last="Wang">Fu-Jie Wang</name></author><author><name sortKey="Ying, Yi Bin" sort="Ying, Yi Bin" uniqKey="Ying Y" first="Yi-Bin" last="Ying">Yi-Bin Ying</name></author><author><name sortKey="Rao, Xiu Qin" sort="Rao, Xiu Qin" uniqKey="Rao X" first="Xiu-Qin" last="Rao">Xiu-Qin Rao</name></author></analytic><series><title level="j">Guang pu xue yu guang pu fen xi = Guang pu</title><idno type="ISSN">1000-0593</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Citrus sinensis</term><term>Fluorescence</term><term>Fruit</term><term>Spectrometry, Fluorescence</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Citrus sinensis</term><term>Fluorescence</term><term>Fruit</term><term>Spectrometry, Fluorescence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Rottenness is most prevalent and devastating disease that threats citrus fruit. Automatic detection of early rottenness can enhance the competitiveness and profitability of the citrus industry. However, there is no efficient automatic detection technology at this time that could detect this disease. The navel orange was selected as research objective. Hyperspectral fluorescence imaging was used to detect early rottenness in orange. Optimum index factor (OIF) method was applied to identify the optimal band combination. 100% detection rate was achieved based on the optimal bands ratio image and two threshold values. The research showed that the proposed method can effectively overcome the affect from florescence effect because stem damage area and stem also can produce florescence under ultraviolet light. This study will lay a foundation for developing multispectral detection system used in on-line detection of early rottenness fruit.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22497146</PMID><DateCreated><Year>2012</Year><Month>4</Month><Day>13</Day></DateCreated><DateCompleted><Year>2015</Year><Month>07</Month><Day>08</Day></DateCompleted><DateRevised><Year>2012</Year><Month>4</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1000-0593</ISSN><JournalIssue CitedMedium="Print"><Volume>32</Volume><Issue>1</Issue><PubDate><Year>2012</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Guang pu xue yu guang pu fen xi = Guang pu</Title><ISOAbbreviation>Guang Pu Xue Yu Guang Pu Fen Xi</ISOAbbreviation></Journal><ArticleTitle>[Application of hyperspectral fluorescence image technology in detection of early rotten oranges].</ArticleTitle><Pagination><MedlinePgn>142-6</MedlinePgn></Pagination><Abstract><AbstractText>Rottenness is most prevalent and devastating disease that threats citrus fruit. Automatic detection of early rottenness can enhance the competitiveness and profitability of the citrus industry. However, there is no efficient automatic detection technology at this time that could detect this disease. The navel orange was selected as research objective. Hyperspectral fluorescence imaging was used to detect early rottenness in orange. Optimum index factor (OIF) method was applied to identify the optimal band combination. 100% detection rate was achieved based on the optimal bands ratio image and two threshold values. The research showed that the proposed method can effectively overcome the affect from florescence effect because stem damage area and stem also can produce florescence under ultraviolet light. This study will lay a foundation for developing multispectral detection system used in on-line detection of early rottenness fruit.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Jiang-bo</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. lijiangbo_1982@tom.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Fu-jie</ForeName><Initials>FJ</Initials></Author><Author ValidYN="Y"><LastName>Ying</LastName><ForeName>Yi-bin</ForeName><Initials>YB</Initials></Author><Author ValidYN="Y"><LastName>Rao</LastName><ForeName>Xiu-qin</ForeName><Initials>XQ</Initials></Author></AuthorList><Language>CHI</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Guang Pu Xue Yu Guang Pu Fen Xi</MedlineTA><NlmUniqueID>9424805</NlmUniqueID><ISSNLinking>1000-0593</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D032084" MajorTopicYN="Y">Citrus sinensis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005453" MajorTopicYN="N">Fluorescence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005638" MajorTopicYN="Y">Fruit</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013050" MajorTopicYN="Y">Spectrometry, Fluorescence</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>4</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>4</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>7</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22497146</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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