Guédon Yann, Costes Evelyne.
1999. A statistical approach for analyzing sequences in fruit tree architecture.
In : Proceedings of the fifth international symposium on computer modelling in fruit research and orchard management = [Actes du 5ème symposium international sur la modélisation informatique appliquée à la recherche fruitière et à la gestion des vergers]. Wagen
Autre titre : Approche statistique pour l'analyse de sequences dans le domaine de l'architecture des arbres fruitiers
Résumé : The comparison of fruit tree cultivars on the basis of their architecture is addressed. We propose to extract sequentially structured data (sequences for short) from collected tree-structured data. Sequences realize a good compromise between the availability of statistical methods (which is the highest for unstructured data i.e. vectors) and the explicit representation of the structural information of plant architectures (which is the highest for tree-structured data). Different approaches are presented for the comparison of fruit tree cultivars relying either on the building of parametric models from samples of sequences corresponding to each cultivar or on the comparison of individual sequences. The strengths and weaknesses of each family of methods, referred either to as parametric or non-parametric, are discussed on the basis of the comparison of seven apple cultivars.
Mots-clés Agrovoc : Malus pumila, variété, port de la plante, anatomie végétale, méthode statistique, analyse de données, modèle de simulation, modèle mathématique, modélisation
Mots-clés géographiques Agrovoc : France
Mots-clés complémentaires : Architecture végétale
Classification Agris : U10 - Informatique, mathématiques et statistiques
F50 - Anatomie et morphologie des plantes
F62 - Physiologie végétale - Croissance et développement
Auteurs et affiliations
- Guédon Yann, CIRAD-AMIS-AMAP (FRA)
- Costes Evelyne
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/391916/)
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