journal article·2026-03-31Open access

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

Gülden Özgünaltay Ertuğrul, İkbal Aygün, Maksut Barış Eminoğlu

Applied Sciences· Volume 16· Issue 7

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.
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Research context

OpenAlex topics: Agriculture and Farm Safety · Ergonomics and Musculoskeletal Disorders · Human-Automation Interaction and Safety

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biosystems Engineering, Faculty of Agriculture, Kırşehir Ahi Evran University, 40100 Kırşehir, Türkiye

Department of Agricultural Machinery and Technologies Engineering, Faculty of Agriculture, Ege University, 35040 Izmir, Türkiye

Department of Agricultural Machinery and Technologies Engineering, Faculty of Agriculture, Ankara University, 06110 Ankara, Türkiye

References (44)

Show source-provided references
1. Analytical hierarchy process for sustainable agriculture: An overview10.1016/j.mex.2022.101954 ↗
2. Loures, L., Chamizo, A., Ferreira, P., Loures, A., Castanho, R., and Panagopoulos, T. (2020). Assessing the effectiveness of precision agriculture management systems in Mediterranean small farms. Sustainability, 12.10.3390/su12093765 ↗
3. Evaluation of Industry 4.0 applications for agriculture using AHP methodology10.34088/kojose.768344 ↗
4. Industry 4.0 technologies in Smart Agriculture: A review and a technology assessment model proposition10.1016/j.techfore.2024.123640 ↗
5. Analytical hierarchy process: Revolution and evolution10.1007/s10479-021-04432-2 ↗
6. Cooperation of unmanned systems for agricultural applications: A theoretical framework10.1016/j.biosystemseng.2021.11.008 ↗
7. del Cerro, J., Cruz Ulloa, C., Barrientos, A., and de León Rivas, J. (2021). Unmanned Aerial Vehicles in Agriculture: A Survey. Agronomy, 11.10.3390/agronomy11020203 ↗
8. The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era10.1007/s10462-023-10476-6 ↗
9. Safety and ergonomics in human-robot interactive agricultural operations10.1016/j.biosystemseng.2020.09.009 ↗
10. Benos, L., Tsaopoulos, D., and Bochtis, D. (2020). A Review on Ergonomics in Agriculture. Part II: Mechanized Operations. Appl. Sci., 10.10.3390/app10103484 ↗
11. Vitale, E., Vella, F., Matera, S., Rizzo, G.C., Rapisarda, L., Roggio, F., Musumeci, G., Rapisarda, V., Romano, E., and Filetti, V. (2024). Precision Agriculture: Assessment of Ergonomic Risks of Assisted Driving System. Appl. Sci., 14.10.3390/app14093738 ↗
12. A review of the ergonomic problems of agricultural activities in connection with mechanization: Some Iranian farm works as instances
13. Occupational health and safety issues in human-robot collaboration: State of the art and open challenges10.1016/j.ssci.2023.106313 ↗
14. Ioniță, A.-R., Anghel, D.-C., and Boudouh, T. (2025). Mind, Machine, and Meaning: Cognitive Ergonomics and Adaptive Interfaces in the Age of Industry 5.0. Appl. Sci., 15.10.3390/app15147703 ↗
15. Human-Centered AI in Smart Farming: Toward Agriculture 5.010.1109/ACCESS.2024.3395532 ↗
16. Holzinger, A., Saranti, A., Angerschmid, A., Retzlaff, C.O., Gronauer, A., Pejakovic, V., Medel-Jimenez, F., Krexner, T., Gollob, C., and Stampfer, K. (2022). Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions. Sensors, 22.10.3390/s22083043 ↗
17. Evaluation of agriculture–food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets10.1016/j.asoc.2023.110170 ↗
18. Lieder, S., and Schröter-Schlaack, C. (2021). Smart Farming Technologies in Arable Farming: Towards a Holistic Assessment of Opportunities and Risks. Sustainability, 13.10.3390/su13126783 ↗
19. Human performance in lean production environment: Critical assessment and research framework10.1002/hfm.10047 ↗
20. Multi-criteria decision-making methodology for prioritizing irrigation projects10.2166/wp.2025.304 ↗
21. Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: A case study10.1016/S0378-1127(99)00204-2 ↗
22. Moslem, S., Ghorbanzadeh, O., Blaschke, T., and Duleba, S. (2019). Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP. Sustainability, 11.10.3390/su11123271 ↗
23. Barač, Ž., Plaščak, I., Jurić, T., and Marković, M. (2025). The Impact of Vibrations on the Hand–Arm System and Body of Agricultural Tractor Operators in Relation to Operational Parameters, Approach: Analytical Hierarchical Process (AHP). AgriEngineering, 7.10.3390/agriengineering7030056 ↗
24. Assessing and prioritizing agricultural drone sprayers in Kerman Province: An AHP approach
25. Investigation of Observational Techniques Ergonomic Risk Assessment of Work-Related Musculoskeletal Disorders among Farmers—A Systematic Review10.1080/1059924X.2024.2436447 ↗
26. Worker safety in agriculture 4.0: A new approach for mapping operator’s vibration risk through activity recognition10.1016/j.compag.2021.106637 ↗
27. Benos, L., Tsaopoulos, D., and Bochtis, D. (2020). A Review on Ergonomics in Agriculture. Part I: Manual Operations. Appl. Sci., 10.10.3390/app10061905 ↗
28. Saaty, T.L. (2013). Analytic hierarchy process. Encyclopedia of Operations Research and Management Science, Springer.10.1007/978-1-4419-1153-7_31 ↗
29. The Analytic Hierarchy Process: An exposition10.1287/opre.49.4.469.11231 ↗
30. An overview of the analytic hierarchy process and its applications10.1016/0377-2217(90)90056-H ↗
31. Aggregation of Individual Preference Structures in Ahp-Group Decision Making10.1007/s10726-006-9050-x ↗
32. The geometric consistency index: Approximated thresholds10.1016/S0377-2217(02)00255-2 ↗
33. Atılgan, A. (2022). Tarımsal üretimde ergonomiye bir bakış. Biyosistem Mühendisliği III, Akademisyen Kitabevi.10.37609/akya.1414 ↗
34. Definition of a SCADA system for a microirrigation network with effluents10.1016/j.compag.2008.05.023 ↗
35. Ertuğrul, Ö., Özgünaltay Ertuğrul, G., Değirmencioğlu, A., and Kadirova, S. (2026). Analyzing sustainable cotton production in Türkiye through the water energy carbon nexus framework. Sci. Rep.10.1038/s41598-026-41947-9 ↗
36. Alkan, B., and Özgünaltay Ertuğrul, G. (2025). Evaluating the relationship between land consolidation and agricultural mechanization: Evidence from a case study in Türkiye. Sustainability, 17.10.20944/preprints202510.1245.v1 ↗
37. Kazankaya, A., and Doğan, A. (2022). Tarım traktörleri kazaları ve tarımsal mekanizasyon düzeyi ilişkisi: Türkiye örneği. Tarımsal Perspektif, Iksad Publications.
38. Henao, D., Sanchez-Echeverri, L.A., and Tovar-Perilla, N.J. (2024). Potential Utilization of Rice Waste in the Construction Sector: A Multi-Criteria Decision Analysis Approach. Resources, 13.10.3390/resources13100139 ↗
39. Ertuğrul, Ö., Daher, B., Özgünaltay Ertuğrul, G., and Mohtar, R. (2024). From agricultural waste to energy: Assessing the bioenergy potential of South-Central Texas. Energies, 17.10.3390/en17040802 ↗
40. Alzahmi, W., and Ndiaye, M. (2025). A Multi-Criteria AHP Framework for Solar PV End-of-Life Management. Sustainability, 17.10.3390/su17051828 ↗
41. Kirmikil, M. (2025). Which Factors Are More Important in Land Consolidation Block Planning? An Analytic Hierarchy Process Approach for Prioritization. Sustainability, 17.10.3390/su17052314 ↗
42. A Study Examining the Potential of the 5S Methodology for Improving Efficiency in Agricultural Production Processes
43. Assessing the sustainability of crop production in the Gediz basin, Turkey: A water, energy and food nexus approach
44. Özüağ, S., and Ertuğrul, Ö. (2024). Enhanced Occupational Safety in Agricultural Machinery Factories: Artificial Intelligence-Driven Helmet Detection Using Transfer Learning and Majority Voting. Appl. Sci., 14.10.3390/app142311278 ↗