Complementary source information cooperation within a decision system for crop monitoring

El Hajj Mahmoud, Guillaume Serge, Bégué Agnès. 2009. Complementary source information cooperation within a decision system for crop monitoring. In : Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009 (IFSA-EUSFLAT 2009 Proceedings). Eds. J. P. Carvalho, D. Dubois, U. s.l. : EUSFLAT, 1496-1501. IFSA-EUSFLAT 2009, Lisbonne, Portugal, 20 Juillet 2009/24 Juillet 2009.

Résumé : Multi-source information fusion usually deals with redundant sources; the goal is to aggregate decisions, or evidence which supports one or another class. Many frameworks are then available: OWA, fuzzy integrals, etc. In this paper we are interested in managing complementary information sources. The integration is done using a fuzzy rule base. The rules are generated using a fuzzy decision tree algorithm. The application consists in the design of a crop harvest monitoring system. The three information sources are a time series of satellite images, a crop growth model and expert knowledge. The results show that the system is ready to use in an operational way.

Mots-clés Agrovoc : Saccharum officinarum

Mots-clés géographiques Agrovoc : La Réunion, France

Classification Agris : U10 - Informatique, mathématiques et statistiques
F01 - Culture des plantes
C30 - Documentation et information

Auteurs et affiliations

• El Hajj Mahmoud, CEMAGREF (FRA)
• Guillaume Serge, CEMAGREF (FRA)
• Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/558290/)

Métriques

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