Information System of Agriculture Production for Location Analysis in Middle Esan Region

Abstract

             The objectives of this research were 1) to study and develop the agricultural production management information system for location analysis 2) to develop Geographic Information System (GIS) website by using Google Map API and Genetic Algorithm (GA) for solving location problems to find appropriate solution. The sample area is in the middle part of Northeast Thailand which covers 4 provinces; Kalasin, Roi-Et, Mahasarakham and Khon Kaen. The sample plants consist of 4 types including 1) Paddy rice (Rice type) 2) Pulp mill (Crop type)3) Cassava (Crop type) and 4) Watermelon (Vegetable type). This research developed the GIS web application by using Google Map API and GA as tools.

            The research findings showed that 1) the agricultural production management information system for location analysis developed consists of (1) visualization on web browser (2) computation and problemsolving using GA (3) request and storingof data , and (4) graphics user interface via the pictorial map showing connections with neighboring provinces, locations in Tambon level and total agricultural production in that area 2) the system is capable of grouping areas, locating the center of each group and determining the total agricultural production of each group.