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Marie-Odile Cordier and Frederick Garcia and Chantal Gascuel and Véronique Masson and Ansaf Salleb and Ronan Trepos
SACADEAU project: recommending actions from simulation results
, BESAI'06 (ECAI'06 workshop on Binding Environmental Sciences and Artificial Intelligence)
, Riva del Garda
, August
, 2006
, poster
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Abstract
The objective of the SACADEAU project is to build a decision-aid tool to help specialists in charge of catchment area management to preserve stream-water quality. This is done by coupling a semi-quantitative transfer model, simulating pesticide transfer through the catchment area, with a conceptual management model, simulating farmers� decisions concerning weeding strategies and herbicide application. This has two main advantages: it allows the impact of recommendations to be evaluated by simulating high-level scenarios, and it allows simulation results to be analyzed by using machine learning and data mining techniques to discover discriminating variables and to acquire knowledge in this complex domain. Finally, the learnt rules are used to help users in taking a decision.
The experimentation site (the Fremeur catchment area) is located in Brittany, France, and covers about seventeen square kilometers.
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