Blueberry supply chain: Critical steps impacting fruit quality and application of a boosted regression tree model to predict weight loss

DC FieldValueLanguage
dc.contributor.authorKtenioudaki, Anastasia-
dc.contributor.authorO'Donnell, C. P. (Colm P.)-
dc.contributor.authorEmond, Jean Pierre-
dc.contributor.authorNascimento Nunes, Maria Cecilia do-
dc.date.accessioned2022-05-10T16:07:37Z-
dc.date.available2022-05-10T16:07:37Z-
dc.date.copyright2021 the Authorsen_US
dc.date.issued2021-09-
dc.identifier.citationPostharvest Biology and Technologyen_US
dc.identifier.urihttp://hdl.handle.net/10197/12876-
dc.description.abstractBlueberries have increased in popularity in recent years due to their nutritional benefits and sensory characteristics. However, to preserve quality and extend shelf-life, they need to be maintained at refrigerated temperatures and high relative humidity, conditions that are not routinely met along the supply chain. Poor temperature management leads to quality deterioration, increasing waste/losses along the supply chain. This study examined the impact of each step along the supply chain on the physichochemical quality and shelf-life of blueberries, identifying the most critical steps from field to consumption. The following steps were identified as critical in the blueberry supply chain: shipping to distribution centre (DC) (72 h at 5 °C), store display (48 h at 15 °C), and consumer (48 h at 20 °C). Given the economic importance of weight loss and its link to fruit quality and shelf-life, a boosted regression tree (BRT) model was built to predict weight loss using the post-harvest environmental conditions of a simulated supply chain applying different temperature-time scenarios. The model explained 84 % of the variance on the test set and highlighted the interactions of supply chain conditions on weight loss.en_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCold chainen_US
dc.subjectShelf-lifeen_US
dc.subjectMachine learningen_US
dc.subjectBiochemical propertiesen_US
dc.subjectPost-harvest storageen_US
dc.titleBlueberry supply chain: Critical steps impacting fruit quality and application of a boosted regression tree model to predict weight lossen_US
dc.typeJournal Articleen_US
dc.statusPeer revieweden_US
dc.identifier.volume179en_US
dc.identifier.startpage1en_US
dc.identifier.endpage10en_US
dc.citation.otherArticle number: 111590en_US
dc.identifier.doi10.1016/j.postharvbio.2021.111590-
dc.neeo.contributorKtenioudaki|Anastasia|aut|-
dc.neeo.contributorO'Donnell|C. P. (Colm P.)|aut|-
dc.neeo.contributorEmond|Jean Pierre|aut|-
dc.neeo.contributorNascimento Nunes|Maria Cecilia do|aut|-
dc.description.othersponsorshipUS Department of Agriculture (USDA)en_US
dc.identifier.grantid708374-
dc.rights.licensehttps://creativecommons.org/licenses/by/3.0/ie/en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Biosystems and Food Engineering Research Collection
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