APPLICATION OF GEO-INFORMATICS TECHNOLOGY IN POTENTIAL SURFACE ANALYSIS OF YAIKLAM MANGO PLANTATION, NONTHABURI PROVINCE

Abstract

This research study Application of Geo-Informatics Technology in Potential Surface Analysis of Yaiklam Mango Plantation , Nonthaburi Province There are 3 research objectives as follows: 1) To study the status of farmers Yaiklam Mango Plantation in Nonthaburi Province 2) To study the suitability factors for Yaiklam Mango Plantation in Nonthaburi Province 3) To analyze potential surface analysis of Yaiklam Mango Plantation in Nonthaburi Province using Geo-Informatics Technology. The research is a quantitative research in Geo-Informatics. The study area is Nonthaburi Province compose of 6 districts. Population scope were 340 farmers who grew Yaiklam mangoes in Nonthaburi Province, Sampling using Krejcie and Morgan formula.In 95% confidence level , A Sample of 181 farmer. The tool for study status of farmers Yaiklam Mango Plantation in Nonthaburi Province was questionnaire 181 sets. Statistics used were frequency, percentage, mean and standard deviation. Research results :1) the status of farmers Yaiklam Mango Plantation in Nonthaburi Province most of them were male, Age 51 – 60 years old, Diploma education and equivalent, earn 5,000 – 10,000 bath/month, Land owner the most at 88% , Amount of Land owner 1-5 rai is 54% , Planting Yaiklam Mango 1-5 rai is 58% 2) the suitability factors for Yaiklam Mango Plantation in Nonthaburi Province using Land Quality factor are 14 factor: 1) Mean Annual Temperature 2) Annual rainfall 3) Soil Texture 4) Soil Drainage 5) Base Saturation 6) Cation exchange capacity 7) Organic Matter 8) Available Phosphorus 9) Available Potassium 10) Soil PH 11) Salinity 12) Depth of the Jarosite layer 13) Slope 14) Soil erosion. Import factor data into ArcGIS Software that created data in Geographic Information System. And 3) To Analyze Potential Surface Analysis of Yaiklam Mango Plantation in Nonthaburi Province with determine weighted value of a variable with ArcGIS Software , result is High suitable area (S1) 134,866.67 rai or 33.88 % in area Pakkret ,Mueang Nonthaburi and Bangkruai District. Moderate suitable area (S2) 38,757.55 rai or 9.74 % in area Khlongkhoi Subdistrict in Pak kret District, Lampho Subdistrict in BangBuaThong District and Saiyai ,Ratniyom ,Khunsi and Khlongkhwang Subdistrict in Sai Noi District. Low suitable area (S3) 216,156.49 rai or 54.31 % in area Bangbuathong ,Sainoi and Bangyai District. Not- suitable area (N) 8,237.72 rai or 2.07 % mostly area is road river and water.