Use of GIS and Remote Sensing on Ornamental Fish Farm’s Activites Monitoring in Layang-Layang, Kluang, Johor
Eleanor Daniella Lokman1, Dato Adnan Hussain1, Mohd Mohtar Mahamud1, Pang Ak Nyukang1 Mckreddy Yaban Julius2, Suhaida Aini2
1. Department of Fisheries, Ministry of Agriculture and Agro-Based Industry Malaysia, Wisma Tani, Level 1-6, Blok Menara 4G2, Precinct 4, 62628 Putrajaya.
2. Malaysian Remote Sensing Agency (MRSA), Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC), No. 13, Jalan Tun Ismail, 50480 Kuala Lumpur, Malaysia.
Abstract: 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 SPOT-6 satellite images 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 satellite 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 Malaysian Certificate of Education (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 (10) 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 Malaysia, particularly Fisheries Biosecurity Division, in the management of aquatic animal health for the country’s export trade value.
Keywords: Ornamental Fish, Spatial Analysis, GIS, Fisheries Bio-security, Remote Sensing
Pages: 211 – 230 | Full PDF Paper