| Evaluating land suitability for Rain-fed Wheat and Barley using GIS and Fuzzy systems |
| Paper ID : 1056-SMPR |
| Authors: |
|
Ehsan Neamatollahi *1, Javad Vafabakhsh2 1Department of agronomy and plant breeding, Faculty of Agriculture, University of Tehran, Tehran, Iran 2Seed and Plant Improvement Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Mashhad, Iran |
| Abstract: |
| The rapidly growing world population puts considerable pressure on scarce natural resources, and there is an urgent need to develop more efficient and sustainable agricultural production systems to feed the growing population. This should be based on an initial assessment of the physical and biological potential of natural resources, which can vary greatly. The determination of potential growth areas approaches presents a useful preliminary evaluation of this potential and ensures that representation is maintained at an appropriate biogeography scale for regional sustainable development planning. This article deals with a method used to describe and manage potential growing areas knowledge. The method proposed uses the information elements to infer the value of any request zone. Data can be qualitative (Water suitability, Soil erosion, and Soil depth) or quantitative (Slope, Elevation, Evaporation, and Precipitation). A qualitative land evaluation was accomplished to the Mashhad plain, Khorasan Razavi province, Iran, to assess the suitability of the land to grow the locally most important crops, wheat (Triticum aestivum) and barley (Hordeum Vulgare) by using of Geographical Information System (GIS) and Fuzzy systems. The study area covered approximately 99.915 ha. The study identified suitable elevation, slope, evaporation, precipitation, water suitability, soil erosion and soil depth for optimal growth and indicated that high yields are possible for rain-fed wheat and barley on the Mashhad plain. We also describe an application of the method to a Precision Agriculture. |
| Keywords: |
| Agro-ecological zoning, Potential growing areas, Fuzzy system, GIS |
| Status : Paper Accepted (Poster Presentation) |
