נגישות
menu      
Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
Spatial decision support system for Medfly control in citrus
Year:
2008
Authors :
Alchanatis, Victor
;
.
Cohen, Avihu
;
.
Cohen, Yafit
;
.
Hetzroni, Amots
;
.
Volume :
62
Co-Authors:
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Cohen, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel, Environment, Water and Agricultural Engineering, Faculty of Civil and Environmental Engineering, Haifa, 32000, Israel
Hetzroni, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Broday, D., Environment, Water and Agricultural Engineering, Faculty of Civil and Environmental Engineering, Haifa, 32000, Israel
Gazit, Y., The Israel Cohen Institute for Biological Control, PPMB - Citrus Division, Israel
Timar, D., The Israel Cohen Institute for Biological Control, PPMB - Citrus Division, Israel
Facilitators :
From page:
107
To page:
117
(
Total pages:
11
)
Abstract:
A spatial decision support system (SDSS), designated MedCila was developed for controlling Medfly on citrus in Israel. The development involved four main phases: (1) acquisition of relevant expert and domain knowledge; (2) identification of the relevant criteria and modeling each criterion and the overall decision-making procedure; (3) integration of the MedCila into a GIS environment; and (4) initial evaluation of MedCila performance. The criteria found to be most relevant for control decision-making were the number of flies and the presence of a 'blue eye' in the nearest trap, the host-species susceptibility, the relative development of the Medfly based on accumulative day-degree model, the history of trapping, and the Medfly population in the nearby traps. Binary, linear, logarithmic and biological-based models were developed for the criteria identified. The overall decision-making procedure of the MedCila was based on the Stanford Certainty Theory integrated with a rule-based decision tree. Initial evaluation of the MedCila performance was done by retrospective comparison between the MedCila recommendations and the coordinator decisions. It was shown that the MedCila provides recommendations that are generally accepted by the coordinators; it reduces the number of unnecessary spray actions in the absence of a Medfly threat in space and in time; and it reduces the number of plots for which the coordinator needs to make a decision for. © 2007 Elsevier B.V. All rights reserved.
Note:
Related Files :
Agriculture
Ceratitis capitata
Fruits
Israel
pest control
spray
Stanford certainty factor
trapping
Show More
Related Content
More details
DOI :
10.1016/j.compag.2007.12.005
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
21214
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:42
Scientific Publication
Spatial decision support system for Medfly control in citrus
62
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Cohen, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel, Environment, Water and Agricultural Engineering, Faculty of Civil and Environmental Engineering, Haifa, 32000, Israel
Hetzroni, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, P.O. Box 6, 50250 Bet Dagan, Israel
Broday, D., Environment, Water and Agricultural Engineering, Faculty of Civil and Environmental Engineering, Haifa, 32000, Israel
Gazit, Y., The Israel Cohen Institute for Biological Control, PPMB - Citrus Division, Israel
Timar, D., The Israel Cohen Institute for Biological Control, PPMB - Citrus Division, Israel
Spatial decision support system for Medfly control in citrus
A spatial decision support system (SDSS), designated MedCila was developed for controlling Medfly on citrus in Israel. The development involved four main phases: (1) acquisition of relevant expert and domain knowledge; (2) identification of the relevant criteria and modeling each criterion and the overall decision-making procedure; (3) integration of the MedCila into a GIS environment; and (4) initial evaluation of MedCila performance. The criteria found to be most relevant for control decision-making were the number of flies and the presence of a 'blue eye' in the nearest trap, the host-species susceptibility, the relative development of the Medfly based on accumulative day-degree model, the history of trapping, and the Medfly population in the nearby traps. Binary, linear, logarithmic and biological-based models were developed for the criteria identified. The overall decision-making procedure of the MedCila was based on the Stanford Certainty Theory integrated with a rule-based decision tree. Initial evaluation of the MedCila performance was done by retrospective comparison between the MedCila recommendations and the coordinator decisions. It was shown that the MedCila provides recommendations that are generally accepted by the coordinators; it reduces the number of unnecessary spray actions in the absence of a Medfly threat in space and in time; and it reduces the number of plots for which the coordinator needs to make a decision for. © 2007 Elsevier B.V. All rights reserved.
Scientific Publication
You may also be interested in