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Traktör Tercihine Teknolojik Özelliklerin Etkisinin Araştırılması: Konya İli Örneği

Yıl 2025, Cilt: 28 Sayı: 4, 1122 - 1130, 04.07.2028

Zeki Bayramoğlu , Hasan Gökhan Doğan , Kemalettin Ağızan , Serhan Candemir

https://doi.org/10.18016/ksutarimdoga.vi.1627340
Cited By: 1

Öz

Traktörler, tarım sektöründe kullanılan mekanizasyon çeşitliliğinin en önemli bileşenidir. Sağladığı birçok avantaj nedeniyle üretici tarafından farklı fraksiyonlar tercih edilebilmektedir. Arazi türü, arazi büyüklüğü, üretim kalitesi ve toprak özelliklerine göre farklılık gösteren tercihler, traktör piyasalarının yakından incelenmesini gerekli kılmıştır. Traktör piyasaları araştırılırken söz konusu piyasanın beklentilerinin belirlenmesi oldukça önemlidir. Bu çalışmada, Konya ilindeki üreticilerin traktör seçiminde teknolojik özellik açısından tercihleri incelenmiştir. Oransal örnekleme yoluyla 340 üretici ile yapılan anket sonuçları, konjoint analizi kullanılarak değerlendirilmiştir. Analiz sonuçlarına göre, üreticiler tarafından en çok tercih edilen traktörlerin teknolojik özellikleri; güç aralığı 71-100 BG, çekiş özelliği 4WD, fiyat aralığı 1-2 Milyon TL (32.000-62.000$), otomasyon, hidrolik sistem, klima, ısıtma ve ses yalıtımıdır. Bu traktörler, kabin hacmi büyük, GPS ve haritalama sistemlerine sahip traktörler olduğu belirlenmiştir. Türkiye traktör pazarının organizasyonunun üretici beklentileri doğrultusunda planlanması ve bölgesel/yerel pazar segmentasyonunun üretici beklentileri doğrultusunda yapılması, traktör üreticileri ve tarımsal üretimde verimlilik açısından önemli görülmektedir.

Anahtar Kelimeler

Türkiye Traktör tercihi Teknoloji Konjoint analiz

Kaynakça

  • Agricultural Transformation Agency (ATA) (2017). Mechanization. http://www.ata.gov.et/programs/mechanization Access: 20.05.2024
  • Aksoy, A., Demir, N., & Demir, O. (2019). An analysis on determinants of farmers’ tractor purchasing behavior in Erzurum Province. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 50(1), 75-83.
  • Baybas, S., & Aksoy, A. (2021). Erzurum İli Çiftçilerinin Traktör Marka Tercihini Etkileyen Faktörlerin Belirlenmesi. Turkish Journal of Agricultural Engineering Research, 2(2), 376-389.
  • Cowell, P. A., & Milne, M. J. (1977). An implement control system using pure draught force sensing and modified linkage geometry. Journal of Agricultural Engineering Research, 22(4), 353-371.
  • Daum, T., & Birner, R. (2020). Agricultural mechanization in Africa: Myths, realities and an emerging research agenda. Global food security, 26, 100393.
  • Durczak, K. (2011). System oceny jakości maszyn rolniczych. Rozprawy Naukowe. Uniwersytet Przyrodniczy w Poznaniu, 418, 1-161..
  • Dwyer, M. J., Crolla, D. A., & Pearson, G. (1974). An investigation of the potential for improvement of tractor draught controls. Journal of Agricultural Engineering Research, 19(2), 147-165.
  • Ethiopia National Planning Commission (ENPC). Growth and Transformation Plan-II (2015/16–2019/20). Vol. I: The main text. Addis Ababa, Ethiopia. 2015.
  • Gazzarin, C. (2019). Ökonomie. Maschinenkosten 2019. Agroscope Transfer, 291, 1-27.
  • Grisso, R.B., Perumpral, J.V., Roberson, G.T. & Pitman, R. (2014). Using tractor test data for selecting farm tractors. Virginia Cooperative Extension, https://pubs.ext.vt.edu/442/442-072/442-072_pdf.pdf
  • Hair J., Anderson R., Tatham R., (1990), Multivariate Data Analysis With Readings, 2 nd Edition, New York, Macmillan.
  • Heck, J., Jahnke, L., Leker, J. (2024). Early evidence of a transition towards sustainability-oriented decision-making in the chemical industry in Germany, Austria, and Switzerland: A choice-based conjoint analysis. Energy Policy. 184, 114028.
  • Ismail, S. M., Singh, G., & Gee-Clough, D. (1981). A preliminary investigation of a combined slip and draught control for tractors. Journal of Agricultural Engineering Research, 26(4), 293-306.
  • Ismail, S. M., Singh, G., & Gee-Clough, D. (1983). Comparison of the field performance of three implement control systems for a tractor. Journal of Agricultural Engineering Research, 28(6), 521-536.
  • Keleş, İ., & Hacıseferoğulları, H. (2016). Konya ili çumra ilçesi tarım işletmelerinin tarımsal yapı ve mekanizasyon özelliklerinin belirlenmesi. Selçuk Tarım Bilimleri Dergisi, 3(1), 48-58.
  • Kumar, A. A., Tewari, V. K., & Nare, B. (2016). Embedded digital draft force and wheel slip indicator for tillage research. Computers and Electronics in Agriculture, 127, 38-49.
  • Kumar, A. A., Tewari, V. K., Gupta, C., & Pareek, C. M. (2017). A device to measure wheel slip to improve the fuel efficiency of off road vehicles. Journal of Terramechanics, 70, 1-11.
  • Marakoglu, T., & Carman, K. (2010). Energy balance of direct seeding applications used in wheat production in middle Anatolia. African Journal of Agricultural Research, 5(10), 988-992.
  • Mehta, C. R., Singh, K., & Selvan, M. M. (2011). A decision support system for selection of tractor–implement system used on Indian farms. Journal of terramechanics, 48(1), 65-73.
  • Mottaleb, K. A. (2018). Perception and adoption of a new agricultural technology: Evidence from a developing country. Technology in society, 55, 126-135.
  • Ness, M.R., (1997), Multivariate Analysis in Marketing Research, in: Padberg D. Ritson C. and Albisu L.M., eds: Agro Food Marketing, Chapter 12, Wallingford, Oxfordshire, CAB International., p: 253-278.
  • Newbold, P., Carlson, W., & Thorne, B. (1995). Statistic For Business and Economics, by Prentice-Hall. Inc., NJ. Okonkwo, C. E., Isaac, M. O., Alhassan, E. A., Ogbevire, M., Alake, A. S., Ajao, F. O., & Olayanju, A. T. (2023). Design and fabrication of a fish feed mixing cum pelleting machine for small-medium scale aquaculture industry. Open Agriculture, 8(1), 20220124.
  • Orme, B.(2010). Getting started with conjoint analysis: strategies for product design and pricing research. In: Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research, fourth ed. Research Publishers LLC.
  • Osman, N. O. A. (2011). A Model for Farm Machinery Selection. Master Thesis, University of Khartoum, Faculty of Agriculture.
  • Raheman, H., & Jha, S. K. (2007). Wheel slip measurement in 2WD tractor. Journal of terramechanics, 44(1), 89-94.
  • Sawtooth Software. (2017). Sawtooth software: the CBC system for choice-based conjoint analysis. Sawtooth Software Technical Paper Series 9, 1–27.
  • Servadio, P., Marsili, A., & Belfiore, N. P. (2007). Analysis of driving seat vibrations in high forward speed tractors. Biosystems engineering, 97(2), 171-180.
  • Singh, A., Singh, L. P., Singh, S., & Singh, H. (2019a). Optimization of Occupational Whole Body Vibration Exposure for Rotavation Operation. In Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Volume VI: Transport Ergonomics and Human Factors (TEHF), Aerospace Human Factors and Ergonomics 20 (pp. 467-473). Springer International Publishing.
  • Singh, A., Singh, L. P., Singh, S., Singh, H., Chhuneja, N. K., & Singh, M. (2019b). Evaluation and analysis of occupational ride comfort in rotary soil tillage operation. Measurement, 131, 19-27.
  • Singh, A., Samuel, S., Singh, H., Kumar, Y., & Prakash, C. (2021). Evaluation and analysis of whole-body vibration exposure during soil tillage operation. Safety, 7(3), 61.
  • Singh, A., Nawayseh, N., Singh, H., Samuel, S., Prakash, C., Singh, R., ... & Chhuneja, N. K. (2022a). Modelling and optimization of tractor ride conditions under water tanker operation. Theoretical Issues in Ergonomics Science, 23(4), 453-474.
  • Singh, A., Singh, L. P., Singh, S., & Singh, H. (2022b). Occupational Whole Body Vibration Exposure Among Tractor Drivers During Harrowing. In Ergonomics for Improved Productivity: Proceedings of HWWE 2017 Volume 2 (pp. 127-135). Springer Singapore.
  • Singh, A., Samuel, S., Singh, H., Singh, J., Prakash, C., & Dhabi, Y. K. (2022c). Whole body vibration exposure among the tractor operator during soil tillage operation: An evaluation using ISO 2631-5 standard. Shock and Vibration, 2022, 1-8.
  • Srivastava, A. K., Goering, C. E., Rohrbach, R. P., & Buckmaster, D. R. (1993). Engineering principles of agricultural machines. ASABE Press. ISBN: 1-892769-50-6. doi: https://doi.org/10.13031/epam.2013
  • TOB. (2023). Çiftçi Kayıt Sistemi Verileri. Tarım ve Orman Bakanlığı.
  • TUIK. (2024). Tarımsal İstatistikler. Retrieved 09.04.2024 from https://data.tuik.gov.tr/ Kategori/GetKategori?p=tarim-111&dil=1
  • Yalmancı, B. (2008). Konya ili kadınhanı ilçesinde tarım işletmelerinin tarımsal mekanizasyon düzeyinin belirlenmesi. https://agris.fao.org/search/en/providers/122624/records/64736594e17b74d222545703

Investigating The Effect of Technological Features on Tractor Preference: Case of Konya Province

Yıl 2025, Cilt: 28 Sayı: 4, 1122 - 1130, 04.07.2028

Zeki Bayramoğlu , Hasan Gökhan Doğan , Kemalettin Ağızan , Serhan Candemir

https://doi.org/10.18016/ksutarimdoga.vi.1627340
Cited By: 1

Öz

Tractors are the most important vehicle of the variety of mechanization used in the agricultural sector. Different fractions can be preferred by the manufacturer because of the many advantages it provide. Preferences that differ according to land type, land size, quality of production, and soil characteristics have necessitated a close examination of tractor markets. When researching tractor markets, it is very important to determine the expectations of the market in question. In this study, the preferences of manufacturers in Konya province in terms of technological features in choosing tractors were examined. The results of the survey conducted with 340 producers through proportional sampling were evaluated using conjoint analysis. According to the analysis results, the technological features of the tractors most preferred by the manufacturers are those with a power range of 71-100 HP, a traction feature of 4WD, price range 1-2 million TL (32,000-62,000$), automation, hydraulic system, air conditioning, heating, and sound insulation. It was determined that they were tractors with a large cabin volume and GPS and mapping systems. Planning the organization of the Turkish tractor market in line with producer expectations and regional/local market segmentation according to producer expectations is considered important for tractor manufacturers and efficiency in agricultural production.

Anahtar Kelimeler

Türkiye Tractor preference Tractor technology Conjoint analysis

Etik Beyan

The ethics committee approval for this research was obtained from Malatya Turgut Özal University Social and Human Sciences Ethics Committee with the decision number 01 dated 28.03.2024.

Kaynakça

  • Agricultural Transformation Agency (ATA) (2017). Mechanization. http://www.ata.gov.et/programs/mechanization Access: 20.05.2024
  • Aksoy, A., Demir, N., & Demir, O. (2019). An analysis on determinants of farmers’ tractor purchasing behavior in Erzurum Province. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 50(1), 75-83.
  • Baybas, S., & Aksoy, A. (2021). Erzurum İli Çiftçilerinin Traktör Marka Tercihini Etkileyen Faktörlerin Belirlenmesi. Turkish Journal of Agricultural Engineering Research, 2(2), 376-389.
  • Cowell, P. A., & Milne, M. J. (1977). An implement control system using pure draught force sensing and modified linkage geometry. Journal of Agricultural Engineering Research, 22(4), 353-371.
  • Daum, T., & Birner, R. (2020). Agricultural mechanization in Africa: Myths, realities and an emerging research agenda. Global food security, 26, 100393.
  • Durczak, K. (2011). System oceny jakości maszyn rolniczych. Rozprawy Naukowe. Uniwersytet Przyrodniczy w Poznaniu, 418, 1-161..
  • Dwyer, M. J., Crolla, D. A., & Pearson, G. (1974). An investigation of the potential for improvement of tractor draught controls. Journal of Agricultural Engineering Research, 19(2), 147-165.
  • Ethiopia National Planning Commission (ENPC). Growth and Transformation Plan-II (2015/16–2019/20). Vol. I: The main text. Addis Ababa, Ethiopia. 2015.
  • Gazzarin, C. (2019). Ökonomie. Maschinenkosten 2019. Agroscope Transfer, 291, 1-27.
  • Grisso, R.B., Perumpral, J.V., Roberson, G.T. & Pitman, R. (2014). Using tractor test data for selecting farm tractors. Virginia Cooperative Extension, https://pubs.ext.vt.edu/442/442-072/442-072_pdf.pdf
  • Hair J., Anderson R., Tatham R., (1990), Multivariate Data Analysis With Readings, 2 nd Edition, New York, Macmillan.
  • Heck, J., Jahnke, L., Leker, J. (2024). Early evidence of a transition towards sustainability-oriented decision-making in the chemical industry in Germany, Austria, and Switzerland: A choice-based conjoint analysis. Energy Policy. 184, 114028.
  • Ismail, S. M., Singh, G., & Gee-Clough, D. (1981). A preliminary investigation of a combined slip and draught control for tractors. Journal of Agricultural Engineering Research, 26(4), 293-306.
  • Ismail, S. M., Singh, G., & Gee-Clough, D. (1983). Comparison of the field performance of three implement control systems for a tractor. Journal of Agricultural Engineering Research, 28(6), 521-536.
  • Keleş, İ., & Hacıseferoğulları, H. (2016). Konya ili çumra ilçesi tarım işletmelerinin tarımsal yapı ve mekanizasyon özelliklerinin belirlenmesi. Selçuk Tarım Bilimleri Dergisi, 3(1), 48-58.
  • Kumar, A. A., Tewari, V. K., & Nare, B. (2016). Embedded digital draft force and wheel slip indicator for tillage research. Computers and Electronics in Agriculture, 127, 38-49.
  • Kumar, A. A., Tewari, V. K., Gupta, C., & Pareek, C. M. (2017). A device to measure wheel slip to improve the fuel efficiency of off road vehicles. Journal of Terramechanics, 70, 1-11.
  • Marakoglu, T., & Carman, K. (2010). Energy balance of direct seeding applications used in wheat production in middle Anatolia. African Journal of Agricultural Research, 5(10), 988-992.
  • Mehta, C. R., Singh, K., & Selvan, M. M. (2011). A decision support system for selection of tractor–implement system used on Indian farms. Journal of terramechanics, 48(1), 65-73.
  • Mottaleb, K. A. (2018). Perception and adoption of a new agricultural technology: Evidence from a developing country. Technology in society, 55, 126-135.
  • Ness, M.R., (1997), Multivariate Analysis in Marketing Research, in: Padberg D. Ritson C. and Albisu L.M., eds: Agro Food Marketing, Chapter 12, Wallingford, Oxfordshire, CAB International., p: 253-278.
  • Newbold, P., Carlson, W., & Thorne, B. (1995). Statistic For Business and Economics, by Prentice-Hall. Inc., NJ. Okonkwo, C. E., Isaac, M. O., Alhassan, E. A., Ogbevire, M., Alake, A. S., Ajao, F. O., & Olayanju, A. T. (2023). Design and fabrication of a fish feed mixing cum pelleting machine for small-medium scale aquaculture industry. Open Agriculture, 8(1), 20220124.
  • Orme, B.(2010). Getting started with conjoint analysis: strategies for product design and pricing research. In: Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research, fourth ed. Research Publishers LLC.
  • Osman, N. O. A. (2011). A Model for Farm Machinery Selection. Master Thesis, University of Khartoum, Faculty of Agriculture.
  • Raheman, H., & Jha, S. K. (2007). Wheel slip measurement in 2WD tractor. Journal of terramechanics, 44(1), 89-94.
  • Sawtooth Software. (2017). Sawtooth software: the CBC system for choice-based conjoint analysis. Sawtooth Software Technical Paper Series 9, 1–27.
  • Servadio, P., Marsili, A., & Belfiore, N. P. (2007). Analysis of driving seat vibrations in high forward speed tractors. Biosystems engineering, 97(2), 171-180.
  • Singh, A., Singh, L. P., Singh, S., & Singh, H. (2019a). Optimization of Occupational Whole Body Vibration Exposure for Rotavation Operation. In Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Volume VI: Transport Ergonomics and Human Factors (TEHF), Aerospace Human Factors and Ergonomics 20 (pp. 467-473). Springer International Publishing.
  • Singh, A., Singh, L. P., Singh, S., Singh, H., Chhuneja, N. K., & Singh, M. (2019b). Evaluation and analysis of occupational ride comfort in rotary soil tillage operation. Measurement, 131, 19-27.
  • Singh, A., Samuel, S., Singh, H., Kumar, Y., & Prakash, C. (2021). Evaluation and analysis of whole-body vibration exposure during soil tillage operation. Safety, 7(3), 61.
  • Singh, A., Nawayseh, N., Singh, H., Samuel, S., Prakash, C., Singh, R., ... & Chhuneja, N. K. (2022a). Modelling and optimization of tractor ride conditions under water tanker operation. Theoretical Issues in Ergonomics Science, 23(4), 453-474.
  • Singh, A., Singh, L. P., Singh, S., & Singh, H. (2022b). Occupational Whole Body Vibration Exposure Among Tractor Drivers During Harrowing. In Ergonomics for Improved Productivity: Proceedings of HWWE 2017 Volume 2 (pp. 127-135). Springer Singapore.
  • Singh, A., Samuel, S., Singh, H., Singh, J., Prakash, C., & Dhabi, Y. K. (2022c). Whole body vibration exposure among the tractor operator during soil tillage operation: An evaluation using ISO 2631-5 standard. Shock and Vibration, 2022, 1-8.
  • Srivastava, A. K., Goering, C. E., Rohrbach, R. P., & Buckmaster, D. R. (1993). Engineering principles of agricultural machines. ASABE Press. ISBN: 1-892769-50-6. doi: https://doi.org/10.13031/epam.2013
  • TOB. (2023). Çiftçi Kayıt Sistemi Verileri. Tarım ve Orman Bakanlığı.
  • TUIK. (2024). Tarımsal İstatistikler. Retrieved 09.04.2024 from https://data.tuik.gov.tr/ Kategori/GetKategori?p=tarim-111&dil=1
  • Yalmancı, B. (2008). Konya ili kadınhanı ilçesinde tarım işletmelerinin tarımsal mekanizasyon düzeyinin belirlenmesi. https://agris.fao.org/search/en/providers/122624/records/64736594e17b74d222545703
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Tarım Politikaları, Tarım Ekonomisi (Diğer)
Bölüm ARAŞTIRMA MAKALESİ (Research Article)
Yazarlar

Zeki Bayramoğlu 0000-0003-3258-3848

Hasan Gökhan Doğan 0000-0002-5303-1770

Kemalettin Ağızan 0000-0002-2340-2614

Serhan Candemir 0000-0003-4248-7024

Erken Görünüm Tarihi 10 Haziran 2025
Yayımlanma Tarihi 4 Temmuz 2028
Gönderilme Tarihi 26 Ocak 2025
Kabul Tarihi 14 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 28 Sayı: 4

Kaynak Göster

APA Bayramoğlu, Z., Doğan, H. G., Ağızan, K., Candemir, S. (2028). Investigating The Effect of Technological Features on Tractor Preference: Case of Konya Province. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 28(4), 1122-1130. https://doi.org/10.18016/ksutarimdoga.vi.1627340

Cited By

Effect Factors Evaluation of Internet of Things (IoT) Adoption in Agriculture: A Research on Small Island Development
Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi
https://doi.org/10.18016/ksutarimdoga.vi.1639595
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