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Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

Author

Listed:
  • Sumbangan Baja
  • Samsu Arif
  • Risma Neswati

Abstract

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows- (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

Suggested Citation

  • Sumbangan Baja & Samsu Arif & Risma Neswati, 2017. "Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale," Modern Applied Science, Canadian Center of Science and Education, vol. 11(5), pages 1-11, May.
    • Handle: RePEc:ibn:masjnl:v:11:y:2017:i:5:p:11
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    References listed on IDEAS

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    1. Nurmiaty Nurmiaty & Sumbangan Baja, 2014. "Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 8(3), pages 115-115, June.
    2. Eastwood, C.R. & Chapman, D.F. & Paine, M.S., 2012. "Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia," Agricultural Systems, Elsevier, vol. 108(C), pages 10-18.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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