Ergonomic Criteria Prioritization for Smart Agricultural Technologies: A Multi-Stakeholder AHP Analysis of Tractors, Drones, and Irrigation Systems in Türkiye

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Authors: Gülden Özgünaltay Ertuğrul, İkbal Aygün, Maksut Barış Eminoğlu
Cited by: 1
References: 39

Abstract

The rapid advancement of smart agricultural technologies has transformed modern farming practices, enhancing productivity, precision, and sustainability while introducing new ergonomic challenges. This study aimed to evaluate and prioritize ergonomic criteria associated with three major smart agricultural technologies—GPS-guided tractors, agricultural drones, and automatic irrigation systems—within a multi-stakeholder decision-making framework. The Analytic Hierarchy Process (AHP) was applied to data collected from 53 experts representing four stakeholder groups: academia, operators/farmers, manufacturers, and sectoral organizations. Five ergonomic criteria—physical workload reduction, task duration, user safety, training requirement, and cost/applicability—were analyzed to determine their relative importance. The results indicate that user safety emerged as the most influential ergonomic factor for academia, farmers, and sectoral organizations, highlighting the importance of risk reduction and operator protection in smart farming environments. In contrast, manufacturers prioritized cost and applicability, reflecting economic feasibility considerations in technology development and deployment. These findings demonstrate that ergonomic priorities differ across stakeholder groups and emphasize the need for human-centered design approaches in the development of smart agricultural systems. The proposed multi-stakeholder AHP framework provides a practical and evidence-based decision-support tool for integrating ergonomic considerations into agricultural technology design, implementation, and policy development.

Fields of Study & Subjects

Agriculture and Farm Safety Ergonomics and Musculoskeletal Disorders Human-Automation Interaction and Safety

Publication details

Journal / source
Applied Sciences
Publisher
MDPI AG
Volume
16
Issue
7
Pages
3368–3368
Publication date
31 March 2026
Language
EN