Article detail · 2022 · article
Developing a New Methodology for the Use of GIS and AHP in Determining Suitable Areas for Wheat Plants in the Lower Kelkit Basin
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueTurkish Journal of Agriculture - Food Science and Technology
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
Abstract
In agricultural production planning; compiling the data correctly, and using and interpreting the data precisely have strategic importance. This study aims, it is aimed to develop a model that can evaluate the suitability of the Lower Kelkit Basin for wheat farming by using the Analytical Hierarchy Process (AHP) and current GIS technologies. In the study, weight values of seven different criteria of topography (slope, aspect) and soil (texture, organic matter (OM), CaCO3, EC, pH) were calculated with AHP. These weight values and standardized criteria maps were combined within the ArcGIS Weighted Overlay tool and the result maps were created according to the FAO suitability index. According to these maps, 54% of the Lower Kelkit Basin was modeled as unsuitable (N) for wheat, 22% as moderately suitable (S2), and 24% as highly suitable (S1). In addition to all these, an editable and updatable ArcGIS model tool was also produced as a result of the study. Our results indicated that AHP and GIS are powerful and effective tools that can be used in land suitability modeling.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
1citationsOpenAlex · cited_by_count (cache / database)
3 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2026 Modeling FAO Land Suitability Assessment for Wheat Cultivation in Semi-Arid Environments Using Fuzzy Logic and GIS Based ApproachCitations 0 · OpenAlex
- 2026 Modeling FAO Land Suitability Assessment for Wheat Cultivation in Semi-Arid Environments Using Fuzzy Logic and GIS Based ApproachCitations 0 · OpenAlex
- 2026 Modeling FAO Land Suitability Assessment for Wheat Cultivation in Semi-Arid Environments Using Fuzzy Logic and GIS Based ApproachCitations 0 · OpenAlex