Complementary Source Information Cooperation Within a Decision System for Crop Monitoring
نویسندگان
چکیده
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. Keywords— Crop growth modeling, Decision, Expert knowledge, Fuzzy rules, Learning, Remote sensing.
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