Co-Authors:
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Israel
Cohen, A., Agricultural Research Organization (ARO), Israel, Technion, Israel Institute of Technology, Israel
Broday, D., Technion, Israel Institute of Technology, Israel
Abstract:
The aim of this chapter is to describe the motivation to develop a knowledge-based spatial decision support system (KB-SDSS) for medfly control in citrus in Israel, its development approach and procedure, its validation, and the steps towards its assimilation among the zone-managers. Development of the KB-SDSS for medfly control in Israel, also known as MedCila involved four main phases: 1. acquisition of expert and domain knowledge related to the control decision process; 2. identification of the relevant criteria and modeling each criterion and the overall decision making procedure; 3. its integration into a GIS environment; and 4. its performance evaluation by an expert-panel considering four aspects: verification, validation, acceptance and effectiveness. Comparison with data-mining approach exemplifies the effectiveness of the KB approach in this case. Our results show that the MedCila may reduce spraying actions by at least 8%, which is estimated to save ca. 13.3 ton/year of chemicals. Ceratitis capitata; Medfly control, knowledge-based spatial decision support system, Stanford certain factor algebra, expert panel, verification, validation, acceptance, effectiveness. © 2010, IGI Global.
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מונוכרום
הדגשת קישורים
חסימת אנימציה
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