Fuzzy Logic and Geographic Information Systems for Pest Control in Olive Culture

Combining an open source Geographical Information System like GRASS-GIS, Mapserver, and the computer languages Perl and PHP it was developed a flexible Decision Support System (DSS) based on fuzzy logic. The DSS researched use data gathered from a current research and demonstration project, concerning the distribution of the Olive fruit fly (Bactrocera oleae) according to several environmental conditions like soil cover, temperature, topography. This data-set continues to be collected for Integrated Pest Management (IPM) purposes. Fuzzy clustering helped to found the most important biophysical parameter that influences the development of the disease into a specific space. The DSS system researched is flexible enough to be applied in Agricultural services with similar problems, in an effort to decrease use of pesticide and to comply with more agro-environmental measures. The present DSS can be applied in similar environmental modelling problems like pollution, population behaviour and ecosystem change. Key-words: Spatial Variability; Integrated Pest Management; Fuzzy Logic; Decision Support System; Geostatistics.