F-perceptory: an approach for handling fuzziness of spatiotemporal data in geographical databases

International audienc

Handling Imprecise Data in Geographic Databases

International audienc

Through a Fuzzy CTL Logic for Modelling Urban Trajectories - A Framework for Modelling City Evolution from Past to Future

International audienc

Vers la construction d'un observatoire des pratiques agricoles~: gestion et propagation de l'imprécision des données agronomiques

National audienc

Handling imperfect spatiotemporal information from the conceptual modeling to database structures

International audienceMany real world systems and applications require a management tool that provides support for dealing with imperfect data. The aim of this paper is to handle the imperfection of spatiotemporal data from the conceptual modeling to the database conception. We propose to add new pictograms in PERCEPTORY in order to build imperfect spatiotemporal class diagrams such as those made using Fuzzy UML. Using those models, we organize the database as a three layer organization: data layer, metadata layer, multivalued layer. Those interlinked layers give a more accurate interaction

Multivariate analysis and clustering reveal high morphological diversity in Tunisian autochthonous grapes (<em>Vitis vinifera</em>): insights into characterization, conservation and commercialization

Aim: To characterize autochthonous grapevine cultivars from a national germplasm collection, to estimate the phenotypic diversity among and within the cultivars, and to identify the traits that contributed to cultivar heterogeneity. Methods and results: Seventy major ampelographic descriptors comprising shoot, leaf and fruit traits were investigated to determine the overall degree of polymorphism among 61 autochthonous Tunisian grapevine genotypes. Based on the correlation values obtained between the characters, all descriptors must be considered for the characterization/clustering of the grapes, of which 12 descriptors were identified as the most important. Based on principal component analysis (PCA) and hierarchical cluster analysis (HCA), all cultivars were discriminated and high morphological variation was observed among the accessions. ANOVA demonstrated that most of the morphological variation was found within (89.31 %) rather than between the groups (10.69 %). The Khalt Bouchemma Gabès, Blanc 3 and Blanc 2 genotypes were identified as the barycentres of the groups, representing all the morphological variation observed within autochthonous grapes in Tunisia. These genotypes exhibited all the required characteristics to be introduced into the market and commercialized as table grapes and stand out as the most promising for commercial cultivation. Conclusion: The detailed ampelographic description presented herein highlighted clear morphological differentiation between Tunisian autochthonous grapevines, investigated for the first time using 70 OIV descriptors, and allowed us for the first time to easily split the Tunisian autochthonous grapevine accessions into wine and table grapes. Numerical analyses showed that the number of morphological traits that are effectively contributing to the characterization of the cultivars could be reduced to 12. Significance and impact of the study: In this investigation, we highlight the importance of importance of breeding programs, commercialization and evaluation of economically valuable characteristics of the highly diverse autochthonous grapevine cultivars from Tunisia