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A decision support system coupling fuzzy logic and probabilistic graphical approaches for the agri-food industry: prediction of grape berry maturity

hal.structure.identifierGénie et Microbiologie des Procédés Alimentaires [GMPA]
dc.contributor.authorPERROT, Nathalie
dc.contributor.authorBAUDRIT, Cedric
IDREF: 095921443
dc.contributor.authorBROUSSET, Jean-Marie
hal.structure.identifierSciences Pour l'Oenologie [SPO]
dc.contributor.authorABBAL, Philippe
hal.structure.identifierUnité de recherches en Technologie et Analyses Laitières [URTAL]
dc.contributor.authorGUILLEMIN, Herve
hal.structure.identifierGénie et Microbiologie des Procédés Alimentaires [GMPA]
dc.contributor.authorPERRET, Bruno
hal.structure.identifierUnité de VINs, Innovations, Itinéraires, TERroirs et Acteurs
hal.structure.identifierInterloire
dc.contributor.authorGOULET, Etienne
hal.structure.identifierUnité de VINs, Innovations, Itinéraires, TERroirs et Acteurs
dc.contributor.authorGUERIN, Laurence
hal.structure.identifierVigne et Vin [UE VIGNE BORDEAUX]
dc.contributor.authorBARBEAU, Gérard
hal.structure.identifierGénie et Microbiologie des Procédés Alimentaires [GMPA]
dc.contributor.authorPICQUE, Daniel
dc.date.accessioned2021-05-14T09:56:19Z
dc.date.available2021-05-14T09:56:19Z
dc.date.issued2015
dc.identifier.issn1932-6203
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77771
dc.description.abstractEnAgri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the multiscale dynamics of those systems using computing science. A robust predictive mathematical tool is implemented for this sector and applied to the wine industry being easily able to be generalized to other applications. Grape berry maturation relies on complex and coupled physicochemical and biochemical reactions which are climate dependent. Moreover one experiment represents one year and the climate variability could not be covered exclusively by the experiments. Consequently, harvest mostly relies on expert predictions. A big challenge for the wine industry is nevertheless to be able to anticipate the reactions for sustainability purposes. We propose to implement a decision support system so called FGRAPEDBN able to (1) capitalize the heterogeneous fragmented knowledge available including data and expertise and (2) predict the sugar (resp. the acidity) concentrations with a relevant RMSE of 7 g/l (resp. 0.44 g/l and 0.11 g/kg). FGRAPEDBN is based on a coupling between a probabilistic graphical approach and a fuzzy expert system
dc.language.isoen
dc.publisherPublic Library of Science
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enA decision support system coupling fuzzy logic and probabilistic graphical approaches for the agri-food industry: prediction of grape berry maturity
dc.typeArticle de revue
dc.identifier.doi10.1371/journal.pone.0134373
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
bordeaux.journalPLoS ONE
bordeaux.page1-21
bordeaux.volume10
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue7
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01188323
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01188323v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PLoS%20ONE&rft.date=2015&rft.volume=10&rft.issue=7&rft.spage=1-21&rft.epage=1-21&rft.eissn=1932-6203&rft.issn=1932-6203&rft.au=PERROT,%20Nathalie&BAUDRIT,%20Cedric&BROUSSET,%20Jean-Marie&ABBAL,%20Philippe&GUILLEMIN,%20Herve&rft.genre=article


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