Crop Selection Based on Agricultural Enterprises' Preferences in Türkiye’s New Production Planning: A Fuzzy Decision-Making Models

Articles in Press

Document Type : Original Article

Author
Fatma Çiftci
Department of Industrial Engineering, Faculty of Engineering and Natural Sciences, KTO Karatay University, Türkiye.
Abstract
The rising uncertainties in agricultural production have led nations to adopt new planning approaches to ensure food security and sustainability of resources. In this regard, the new planned agricultural production approach adopted by Türkiye needs to be empirically assessed, especially in terms of the producers’ preferred crops. This research work uses a hybrid approach of Multi-Criteria Decision Making techniques that combine Fuzzy AHP and Fuzzy VIKOR methods based on data collected from 383 agricultural enterprises in Konya province. The findings show that Product Price (23.54%) and Labor Requirements (17.99%) are the most significant criteria in crop selection. Among the alternatives, wheat was found to be the most appropriate crop with the lowest compromise ranking value (Q = 0.000), followed by maize (Q = 0.161) and potatoes (Q = 0.169). The results form an empirical foundation for improving the new production planning approach in Türkiye by enhancing support structures and taking into account resource efficiency.
Keywords
Crop Selection
Fuzzy AHP
Fuzzy VIKOR
New Planned Production Period
MCDM
Subjects
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Journal of Agricultural Science and Technology

Articles in Press, Accepted Manuscript
Available Online from 20 June 2026