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A decision support system for vine growers based on a bayesian network

hal.structure.identifierSciences Pour l'Oenologie [SPO]
dc.contributor.authorABBAL, Philippe
hal.structure.identifierSciences Pour l'Oenologie [SPO]
dc.contributor.authorSABLAYROLLES, Jean-Marie
hal.structure.identifierUniversité de Rennes 2 [UR2]
dc.contributor.authorMATZNER-LØBER, Eric
hal.structure.identifierAmélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP]
hal.structure.identifierSciences Pour l'Oenologie [SPO]
dc.contributor.authorBOURSIQUOT, Jean-Michel
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorBAUDRIT, Cedric
IDREF: 095921443
hal.structure.identifierUnité expérimentale de Pech-Rouge [PECH ROUGE]
hal.structure.identifierInstitut national d’études supérieures agronomiques de Montpellier [Montpellier SupAgro]
dc.contributor.authorCARBONNEAU, Alain
dc.date.accessioned2021-05-14T09:51:31Z
dc.date.available2021-05-14T09:51:31Z
dc.date.issued2016
dc.identifier.issn1085-7117
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77362
dc.description.abstractEnWe propose here a decision support system for vine growers to assess the quality of a vineyard to be planted. The quality of a vineyard is defined by the probability of possible profitability of the wine sales he is able to produce. The model, based on a Bayesian network (BN), takes into account environment and the parameters defining vineyard status with their associated interactions. BN are widely used for knowledge representation and reasoning under uncertainty in natural resource management. There is a rising interest in BN as tools for ecological and agronomic modelling. Data were collected from knowledge of vine-growing experts. We developed a C# computer program predicting the likely quality of a vineyard. The model has been validated on existing vineyards with prediction ability around 75%. This system should ease assessments of the likely impact of the choices and decisions of vine growers on the quality of new vineyards to be planted in any part of the world. No such model has been developed before for vine growers.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subjectvitis vinifera
dc.subjectexpert
dc.subjectviticulteur
dc.subjectréseau bayésien
dc.subjectvignoble
dc.subjectmodélisation écologique
dc.subject.enbayesian network
dc.subject.encomplex systems
dc.subject.enclimate change
dc.subject.enexpert data
dc.subject.envineyard quality
dc.subject.envineyard
dc.title.enA decision support system for vine growers based on a bayesian network
dc.typeArticle de revue
dc.identifier.doi10.1007/s13253-015-0233-2
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalJournal of Agricultural, Biological, and Environmental Statistics
bordeaux.page131-151
bordeaux.volume21
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01506483
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01506483v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Agricultural,%20Biological,%20and%20Environmental%20Statistics&rft.date=2016&rft.volume=21&rft.issue=1&rft.spage=131-151&rft.epage=131-151&rft.eissn=1085-7117&rft.issn=1085-7117&rft.au=ABBAL,%20Philippe&SABLAYROLLES,%20Jean-Marie&MATZNER-L%C3%98BER,%20Eric&BOURSIQUOT,%20Jean-Michel&BAUDRIT,%20Cedric&rft.genre=article


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