ORNAMENTAL FISH FARMING AND SPATIAL DISTRIBUTION IN LA YANG-LA YANG KLUANG DISTRICT USING GEOGRAPHIC INFORMATION SYSTEM (GIS) AND REMOTE SENSING

摘要

Ornamental fish is the export-oriented sub-sector relishes as one of the fastest-growing in Malaysia's agriculture sector. Along with the high demand locally, the industry successfully penetrated the international market. However, the Malaysia's ornamental fish industry started to face an embargo on exports made by the European Union (EU) in 2015. The study was conducted to solve the issue of import restrictions by establishing the compartment system, using GIS and remote sensing. A total sample population comprised of 19 ornamental fish farmers in Layang-layang, Kluang. The data sources used in this study were based on non-spatial data (survey), spatial data (GIS) and image satellite data to capture farm location effect on the farm operational activities. The descriptive analysis was used to describe the respondent's socio-economic profile and relationship between farming participation and independent variables identified were cross-tabulated. Spot-6 images was used to determine the spatial characteristics to farming activities in distinctive regions. Majority of the farmers were male and married and at (36.8%) aged more than 40 years old. Results shows the highest number of the people who had participated in secondary education level were SPM holders with 41.6%, majority of 7 (36.8%) respondents had a scale more than 10ha of farm size and average total of 2 millions of production a year. Most of them breed goldfish (29%) and tiger barb (8%). Age, education level, total of production and income have a significant relationship with farm participation. Spatially, the results showed that 52.6% of the farmers live near the town which in Kluang, less than fifteen (15) kilometres away from their house and farm. Having spatial database of the compartmentalized farm will facilitate farm monitoring and it benefits the Department of Fisheries, particularly Fisheries Biosecurity Division, in the management of aquatic animal health for the country's export trade value.