A decision support system for vine growers based on a bayesian network
hal.structure.identifier | Sciences Pour l'Oenologie [SPO] | |
dc.contributor.author | ABBAL, Philippe | |
hal.structure.identifier | Sciences Pour l'Oenologie [SPO] | |
dc.contributor.author | SABLAYROLLES, Jean-Marie | |
hal.structure.identifier | Université de Rennes 2 [UR2] | |
dc.contributor.author | MATZNER-LØBER, Eric | |
hal.structure.identifier | Amélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP] | |
hal.structure.identifier | Sciences Pour l'Oenologie [SPO] | |
dc.contributor.author | BOURSIQUOT, Jean-Michel | |
hal.structure.identifier | Institut de Mécanique et d'Ingénierie de Bordeaux [I2M] | |
dc.contributor.author | BAUDRIT, Cedric
IDREF: 095921443 | |
hal.structure.identifier | Unité expérimentale de Pech-Rouge [PECH ROUGE] | |
hal.structure.identifier | Institut national d’études supérieures agronomiques de Montpellier [Montpellier SupAgro] | |
dc.contributor.author | CARBONNEAU, Alain | |
dc.date.accessioned | 2021-05-14T09:51:31Z | |
dc.date.available | 2021-05-14T09:51:31Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1085-7117 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77362 | |
dc.description.abstractEn | We 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.iso | en | |
dc.publisher | Springer Verlag | |
dc.subject | vitis vinifera | |
dc.subject | expert | |
dc.subject | viticulteur | |
dc.subject | réseau bayésien | |
dc.subject | vignoble | |
dc.subject | modélisation écologique | |
dc.subject.en | bayesian network | |
dc.subject.en | complex systems | |
dc.subject.en | climate change | |
dc.subject.en | expert data | |
dc.subject.en | vineyard quality | |
dc.subject.en | vineyard | |
dc.title.en | A decision support system for vine growers based on a bayesian network | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1007/s13253-015-0233-2 | |
dc.subject.hal | Sciences du Vivant [q-bio] | |
bordeaux.journal | Journal of Agricultural, Biological, and Environmental Statistics | |
bordeaux.page | 131-151 | |
bordeaux.volume | 21 | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.issue | 1 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01506483 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01506483v1 | |
bordeaux.COinS | ctx_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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