A GIS-based land evaluation model for peach cultivation by using AHP: a case study in NW Turkey


ENVIRONMENTAL MONITORING AND ASSESSMENT, vol.194, no.4, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 194 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.1007/s10661-022-09898-6
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, Greenfile, MEDLINE, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Site selection, MCDM, Sustainable agriculture, Bayramic, SUITABILITY ANALYSIS, DISTRICT, AGRICULTURE, FRAMEWORK
  • Çanakkale Onsekiz Mart University Affiliated: Yes


Crop-based land suitability studies constitute an important component of precision and sustainable agricultural practices. In this study, a model was created to determine suitable lands for peach farming with the use of the analytic hierarchy process (AHP). The land suitability model was carried out in Derekolu region of Bayramic town of canakkale province. Within the scope of the study, a total of 12 parameters, namely soil depth, soil texture, EC, pH, organic matter content, CaCO3 content, nitrogen, phosphorus, potassium, elevation, aspect, and slope, were used. Present assessments revealed that of the assessed lands, 367.50 ha was highly suitable, 7085.25 ha moderately suitable, 6341.25 ha marginally suitable, and 378.50 ha not suitable for peach cultivation. Texture, slope, and CaCO3 content were respectively identified as the most effective factors in peach cultivation. The combined use of AHP and GIS techniques in the identification of suitable lands for peach farming facilitated assessments and provided significant advantages in terms of time and economic aspects. Further research is recommended to test the validity of the present model for different geographies under different climate and soil conditions.