תפריט נגישות
ניגודיות עדינהניגודיות גבוהה
מונוכרום
הדגשת קישורים
חסימת אנימציה
פונט קריא
סגור
איפוס הגדרות נגישות
להורדת מודול נגישות חינם תפריט נגישותניגודיות עדינהניגודיות גבוההמונוכרוםהדגשת קישוריםחסימת אנימציהפונט קריאסגוראיפוס הגדרות נגישותלהורדת מודול נגישות חינםCohen, Avihu, Department of Transportation and GeoInformation Engineering Faculty of Civil and Environmental Engineering, Technion , Technion - Israel Institute of Technology, Haifa 32000 , Israel;
Gazit, Yoav, Citrus Marketing Board of Israel , Israel;
Timar, Doron, Citrus Marketing Board of Israel , Israel
The Mediterranean fruit fly (Ceratitis capitata Wiedemann; Medfly) is among the world’s most economically harmful pests. Medfly control in citrus plantations in Israel is centralized. To determine time and space of control, about 2,300 sexual lures, distributed in susceptible regions, are observed by field scouts in intervals of about ten days. The scouts report to three zone coordinators who, in turn, determine the time, space and mode of the control measures (aerial or ground application). Taking into consideration all the relevant parameters is quite impossible for large areas within a short time and most of the rulings are strictly biased. The sprayed areas are larger than necessary with harsher environmental and economical impact. This paper describes the main steps of the development of an initial spatial DSS (SDSS) for Medfly control in Israel aka MedCil, which will assist the coordinators in the decision making procedure. The MedCil is based on the Bayesian rule. Its development and realization involved four main phases: 1. acquisition of expert knowledge related to the spraying decision process by interviews and discussions with the coordinators; 2. identifying the relevant criteria and the definition of a control decision tree; 3. transforming qualitative knowledge into quantitative measures; 4. Combination of the decision tree in a GIS environment and evaluate its performance. The MedCil output is a map that classifies the citrus plots into one of the following: Spraying; Spraying is recommended; Spraying is not recommended; No-spraying; No data. In addition, the MedCil warns on data irregularities, i.e., an empty trap amid an area of high capture rate.
Cohen, Avihu, Department of Transportation and GeoInformation Engineering Faculty of Civil and Environmental Engineering, Technion , Technion - Israel Institute of Technology, Haifa 32000 , Israel;
Gazit, Yoav, Citrus Marketing Board of Israel , Israel;
Timar, Doron, Citrus Marketing Board of Israel , Israel
The Mediterranean fruit fly (Ceratitis capitata Wiedemann; Medfly) is among the world’s most economically harmful pests. Medfly control in citrus plantations in Israel is centralized. To determine time and space of control, about 2,300 sexual lures, distributed in susceptible regions, are observed by field scouts in intervals of about ten days. The scouts report to three zone coordinators who, in turn, determine the time, space and mode of the control measures (aerial or ground application). Taking into consideration all the relevant parameters is quite impossible for large areas within a short time and most of the rulings are strictly biased. The sprayed areas are larger than necessary with harsher environmental and economical impact. This paper describes the main steps of the development of an initial spatial DSS (SDSS) for Medfly control in Israel aka MedCil, which will assist the coordinators in the decision making procedure. The MedCil is based on the Bayesian rule. Its development and realization involved four main phases: 1. acquisition of expert knowledge related to the spraying decision process by interviews and discussions with the coordinators; 2. identifying the relevant criteria and the definition of a control decision tree; 3. transforming qualitative knowledge into quantitative measures; 4. Combination of the decision tree in a GIS environment and evaluate its performance. The MedCil output is a map that classifies the citrus plots into one of the following: Spraying; Spraying is recommended; Spraying is not recommended; No-spraying; No data. In addition, the MedCil warns on data irregularities, i.e., an empty trap amid an area of high capture rate.
