Complementary source information cooperation within a decision system for crop monitoring
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.
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| Main Authors: | , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
EUSFLAT
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| Subjects: | U10 - Informatique, mathématiques et statistiques, F01 - Culture des plantes, C30 - Documentation et information, Saccharum officinarum, http://aims.fao.org/aos/agrovoc/c_6727, http://aims.fao.org/aos/agrovoc/c_6543, http://aims.fao.org/aos/agrovoc/c_3081, |
| Online Access: | http://agritrop.cirad.fr/558290/ http://agritrop.cirad.fr/558290/1/document_558290.pdf |
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