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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Remote quality monitoring in the banana chain</title><author><name sortKey="Jedermann, Reiner" sort="Jedermann, Reiner" uniqKey="Jedermann R" first="Reiner" last="Jedermann">Reiner Jedermann</name><affiliation><nlm:aff id="af1"><addr-line>Institute for Microsensors, Actuators and Systems (IMSAS), University of Bremen, FB1, Otto-Hahn-Allee, Building NW 1, Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Microsystems Center Bremen (MCB), Bremen 28359, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Praeger, Ulrike" sort="Praeger, Ulrike" uniqKey="Praeger U" first="Ulrike" last="Praeger">Ulrike Praeger</name><affiliation><nlm:aff id="af3"><addr-line>Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), Max-Eyth-Allee 100, Potsdam 14469, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Geyer, Martin" sort="Geyer, Martin" uniqKey="Geyer M" first="Martin" last="Geyer">Martin Geyer</name><affiliation><nlm:aff id="af3"><addr-line>Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), Max-Eyth-Allee 100, Potsdam 14469, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Lang, Walter" sort="Lang, Walter" uniqKey="Lang W" first="Walter" last="Lang">Walter Lang</name><affiliation><nlm:aff id="af1"><addr-line>Institute for Microsensors, Actuators and Systems (IMSAS), University of Bremen, FB1, Otto-Hahn-Allee, Building NW 1, Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Microsystems Center Bremen (MCB), Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af4"><addr-line>Bremen Research Cluster for Dynamics in Logistics (LogDynamics), Bremen 28359, Germany</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24797132</idno><idno type="pmc">4006168</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006168</idno><idno type="RBID">PMC:4006168</idno><idno type="doi">10.1098/rsta.2013.0303</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000396</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000396</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Remote quality monitoring in the banana chain</title><author><name sortKey="Jedermann, Reiner" sort="Jedermann, Reiner" uniqKey="Jedermann R" first="Reiner" last="Jedermann">Reiner Jedermann</name><affiliation><nlm:aff id="af1"><addr-line>Institute for Microsensors, Actuators and Systems (IMSAS), University of Bremen, FB1, Otto-Hahn-Allee, Building NW 1, Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Microsystems Center Bremen (MCB), Bremen 28359, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Praeger, Ulrike" sort="Praeger, Ulrike" uniqKey="Praeger U" first="Ulrike" last="Praeger">Ulrike Praeger</name><affiliation><nlm:aff id="af3"><addr-line>Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), Max-Eyth-Allee 100, Potsdam 14469, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Geyer, Martin" sort="Geyer, Martin" uniqKey="Geyer M" first="Martin" last="Geyer">Martin Geyer</name><affiliation><nlm:aff id="af3"><addr-line>Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), Max-Eyth-Allee 100, Potsdam 14469, Germany</addr-line></nlm:aff></affiliation></author><author><name sortKey="Lang, Walter" sort="Lang, Walter" uniqKey="Lang W" first="Walter" last="Lang">Walter Lang</name><affiliation><nlm:aff id="af1"><addr-line>Institute for Microsensors, Actuators and Systems (IMSAS), University of Bremen, FB1, Otto-Hahn-Allee, Building NW 1, Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Microsystems Center Bremen (MCB), Bremen 28359, Germany</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="af4"><addr-line>Bremen Research Cluster for Dynamics in Logistics (LogDynamics), Bremen 28359, Germany</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">Philosophical transactions. Series A, Mathematical, physical, and engineering sciences</title><idno type="ISSN">1364-503X</idno><idno type="eISSN">1471-2962</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Quality problems occurring during or after sea transportation of bananas in refrigerated containers are mainly caused by insufficient cooling and non-optimal atmospheric conditions, but also by the heat generated by respiration activity. Tools to measure and evaluate these effects can largely help to reduce losses along the banana supply chain. The presented green life model provides a tool to predict the effect of deviating temperature, relative humidity, and CO<sub>2</sub> and O<sub>2</sub> gas concentrations on the storage stability of bananas. A second thermal model allows evaluation of the cooling efficiency, the effect of changes in packaging and stowage and the amount of respiration heat from the measured temperature curves. Spontaneous ripening causes higher respiration heat and CO<sub>2</sub> production rate. The resulting risk for creation of hot spots increases in positions in which the respiration heat exceeds the available cooling capacity. In case studies on the transport of bananas from Costa Rica to Europe, we validated the models and showed how they can be applied to generate automated warning messages for containers with reduced banana green life or with temperature problems and also for remote monitoring of the ripening process inside the container.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Philos Trans A Math Phys Eng Sci</journal-id><journal-id journal-id-type="iso-abbrev">Philos Trans A Math Phys Eng Sci</journal-id><journal-id journal-id-type="publisher-id">RSTA</journal-id><journal-id journal-id-type="hwp">roypta</journal-id><journal-title-group><journal-title>Philosophical transactions. Series A, Mathematical, physical, and engineering sciences</journal-title></journal-title-group><issn pub-type="ppub">1364-503X</issn><issn pub-type="epub">1471-2962</issn><publisher><publisher-name>The Royal Society Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24797132</article-id><article-id pub-id-type="pmc">4006168</article-id><article-id pub-id-type="doi">10.1098/rsta.2013.0303</article-id><article-id pub-id-type="publisher-id">rsta20130303</article-id><article-categories><subj-group subj-group-type="hwp-journal-coll"><subject>1002</subject><subject>36</subject><subject>1003</subject><subject>168</subject><subject>1008</subject><subject>24</subject><subject>119</subject></subj-group><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="leader"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Remote quality monitoring in the banana chain</article-title><alt-title alt-title-type="short">Quality monitoring in the banana chain</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Jedermann</surname><given-names>Reiner</given-names></name><xref ref-type="aff" rid="af1">1</xref><xref ref-type="aff" rid="af2">2</xref><xref ref-type="corresp" rid="cor1"></xref><contrib-id contrib-id-type="orcid">0000-0002-0390-9143</contrib-id></contrib><contrib contrib-type="author"><name><surname>Praeger</surname><given-names>Ulrike</given-names></name><xref ref-type="aff" rid="af3">3</xref></contrib><contrib contrib-type="author"><name><surname>Geyer</surname><given-names>Martin</given-names></name><xref ref-type="aff" rid="af3">3</xref></contrib><contrib contrib-type="author"><name><surname>Lang</surname><given-names>Walter</given-names></name><xref ref-type="aff" rid="af1">1</xref><xref ref-type="aff" rid="af2">2</xref><xref ref-type="aff" rid="af4">4</xref></contrib></contrib-group><aff id="af1"><label>1</label><addr-line>Institute for Microsensors, Actuators and Systems (IMSAS), University of Bremen, FB1, Otto-Hahn-Allee, Building NW 1, Bremen 28359, Germany</addr-line></aff><aff id="af2"><label>2</label><addr-line>Microsystems Center Bremen (MCB), Bremen 28359, Germany</addr-line></aff><aff id="af3"><label>3</label><addr-line>Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), Max-Eyth-Allee 100, Potsdam 14469, Germany</addr-line></aff><aff id="af4"><label>4</label><addr-line>Bremen Research Cluster for Dynamics in Logistics (LogDynamics), Bremen 28359, Germany</addr-line></aff><author-notes><corresp id="cor1">e-mail: <email>rjedermann@imsas.uni-bremen.de</email></corresp><fn fn-type="other"><p>One contribution of 10 to a Theme Issue ‘<ext-link ext-link-type="uri" xlink:href="http://rsta.royalsocietypublishing.org/content/372/2017.toc">Intelligent food logistics: decrease waste and improve quality by new technologies and advanced warehouse management</ext-link>’.</p></fn></author-notes><pub-date pub-type="ppub"><day>13</day><month>6</month><year>2014</year></pub-date><volume>372</volume><issue>2017</issue><issue-title>Theme Issue ‘Intelligent food logistics: decrease waste and improve quality by new technologies and advanced warehouse management’ organised and edited by Reiner Jedermann, Mike Nicometo, Ismail Uysal, Linus Opara, Steffen Janssen and Walter Lang</issue-title><elocation-id>20130303</elocation-id><permissions><copyright-statement>© 2014 The Author(s) Published by the Royal Society. All rights reserved.</copyright-statement><copyright-year>2014</copyright-year></permissions><self-uri content-type="pdf" xlink:type="simple" xlink:href="rsta20130303.pdf"></self-uri><abstract><p>Quality problems occurring during or after sea transportation of bananas in refrigerated containers are mainly caused by insufficient cooling and non-optimal atmospheric conditions, but also by the heat generated by respiration activity. Tools to measure and evaluate these effects can largely help to reduce losses along the banana supply chain. The presented green life model provides a tool to predict the effect of deviating temperature, relative humidity, and CO<sub>2</sub> and O<sub>2</sub> gas concentrations on the storage stability of bananas. A second thermal model allows evaluation of the cooling efficiency, the effect of changes in packaging and stowage and the amount of respiration heat from the measured temperature curves. Spontaneous ripening causes higher respiration heat and CO<sub>2</sub> production rate. The resulting risk for creation of hot spots increases in positions in which the respiration heat exceeds the available cooling capacity. In case studies on the transport of bananas from Costa Rica to Europe, we validated the models and showed how they can be applied to generate automated warning messages for containers with reduced banana green life or with temperature problems and also for remote monitoring of the ripening process inside the container.</p></abstract><kwd-group><kwd>green life</kwd><kwd>fruit logistics</kwd><kwd>hot spot</kwd><kwd>banana ripening</kwd><kwd>container transport</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>cover-date</meta-name><meta-value>June 13, 2014</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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