Determination of Land Suitability for Musa (ABB group) “Kluai Nam Wa” Using Geographic Information System

Authors

  • Jaruntorn Boonyanuphap Faculty of Agriculture, Nature Resources and Envirinment, Naresuan University
  • Det Wattanachaiyingcharoen Faculty of Agriculture, Nature Resources and Envirinment, Naresuan University

DOI:

https://doi.org/10.14456/thaidoa-agres.2003.16

Keywords:

Mua (ABB group), "Kluai Nam Wa", geographic Information system (GIS), land suitability

Abstract

Department of land suitability for Musa (ABB group) “Kluai Nam Wa” plantation using GIS, Geographic Information System had conducted in Bang Krathum district, Phitsanulok province, where is one of the old production areas. However, the reduction of planting area is due to Fusarium wilt and degradation of agro-resources. Establishment of geographic database with ArcView GIS Version 3.2 produced space-time-map model which classified land suitability for banana production based on 17 variables, which are grouped to be five major factors namely soil property, topographic, climatic, supplementary water and marketing. There are 65,217.75 rai (29.93%) in S4 as non-suitable level, 62,738.25 rai (28.79%) in S3 as less suitable level, 46,721.25 rai (21.44%) in S2 as medium suitable level and 36,020.25 rai (16.53%) in S1 as most suitable level and 7,212.50 rai (3.31%) are not suitable area for agricultural utilization. Geographic database and system would support in decision-making, planning, and resources management in agriculture production, increasing efficiency in production and land use factors, increasing efficiency in management of cost production, land utilization and planning and to conserve balance of agro-technology and natural resources. These technology transfer and modification should be promoted and applied for sustainable agricultural and rural development programmes.

Published

2003-12-16

How to Cite

Boonyanuphap, J., & Wattanachaiyingcharoen, D. (2003). Determination of Land Suitability for Musa (ABB group) “Kluai Nam Wa” Using Geographic Information System. Thai Agricultural Research Journal, 21(3), 210–225. https://doi.org/10.14456/thaidoa-agres.2003.16

Issue

Section

Technical or research paper