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Tarımda Nesnelerin İnterneti (IoT) Benimsenmesinin Etki Faktörleri Değerlendirilmesi: Küçük Ada Gelişimi Üzerine Bir Araştırma

Year 2025, Volume: 28 Issue: 5, 1276 - 1292

Ersin Çağlar

https://doi.org/10.18016/ksutarimdoga.vi.1639595

Abstract

Teknolojinin hızla gelişmesi, hayatın her alanında köklü değişimlere yol açmakta ve geleneksel yöntemleri dijital çözümlere dönüştürmektedir. Son yıllarda yaşanan teknolojik gelişmeler, üretimden lojistiğe, sağlıktan tarıma kadar pek çok sektörde yeni fırsatlar sunmuş, verimlilik ve sürdürülebilirlik açısından önemli kazanımlar sağlamıştır. IoT (Internet of Things) teknolojileri, tarım sektöründe verimliliği artırmak, kaynak kullanımını optimize etmek ve sürdürülebilir üretim süreçlerini teşvik etmek için kullanılmaktadır. Bu teknoloji sayesinde, çiftçiler toprak nemi, sıcaklık, ışık, pH seviyesi gibi çevresel faktörleri gerçek zamanlı olarak izleyebilmekte ve uygun tarım teknikleri uygulayarak verimliliği artırabilmektedir. IoT teknolojisinin sunduğu faydalara rağmen, bazı çiftçiler bu teknolojinin karmaşık yapısından dolayı endişe duyabilir veya iş kaybı riski nedeniyle bu teknolojiyi kullanmak istemeyebilir. Bu çalışmada amaçlanan çiftçilerin endişeleri de göz önünde bulundurularak, IoT teknolojisine yaklaşımları değerlendirilmiştir. Çalışmada 3 farklı faktörün tarım sektöründe IoT'nin benimsenmesi üzerinde pozitif (artı işareti) veya negatif (eksi işareti) bir etkiye sahip olduğu analiz edilmiştir. Analizler sonucunda anlamlı farkların yanı sıra gruplar arasında benzerlikler de olduğu gözlemlenmiştir. Bu bulgular, özellikle IoT'nin benimsenmesi için hangi faktörlerin daha etkili olduğunu belirlemeye yönelik ipuçları sağlamaktadır. Bu analizlerin, farklı gruplara özgü stratejiler geliştirmek ve IoT teknolojisinin benimsenmesini artırmak için yol gösterici olması beklenmektedir.

Keywords

Tarım Nesnelerin İnterneti Teknoloji ve Yenilikçi Yönetim Bilgi Sistemleri Teknolojinin Uyarlanması

References

  • Ahmad, H. B., Asaad, R. R., Almufti, S. M., Hani, A. A., Sallow, A. B., & Zeebaree, S. R. 2024. Smart home energy saving with big data and machine learning. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(1), 11-20.
  • Ahmad, T., & Zhang, D. 2021. Using the internet of things in smart energy systems and networks. Sustainable Cities and Society, 68, 102783.
  • Al-Obaidi, K. M., Hossain, M., Alduais, N. A., Al-Duais, H. S., Omrany, H., & Ghaffarianhoseini, A. 2022. A review of using IoT for energy efficient buildings and cities: a built environment perspective. Energies, 15(16), 5991.
  • Amjad, A., Kordel, P., & Fernandes, G. 2023. A review on innovation in healthcare sector (telehealth) through artificial intelligence. Sustainability, 15(8), 6655.
  • Baethge-Kinsky, V. 2020. Digitized industrial work: Requirements, opportunities, and problems of competence development. Frontiers in sociology, 5, 33.
  • Baker, J. 2012. The technology organization environment framework. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, 231-245.
  • Balamurugan, S., Ayyasamy, A., & Joseph, K. S. 2022. IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain. International Journal of Information Technology, 14(2), 1087-1098.
  • Bayramoğlu, Z., Doğan, H. G., Ağızan, K., & Candemir, S. 2025. 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.
  • Baytorun, A. N., Akyüz, A., Üstün, S., & Çaylı, A. 2018. Sera Isı Gereksinimi Hesaplama Modelinin “ISIGER-SERA” Çukurova Koşullarında Test Edilmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 21(5), 699-707.
  • Çağlar, E. 2024a. The impact of sectors on agriculture based on artificial intelligence data: a case study on G7 countries and Turkiye. International Journal of Agriculture Environment and Food Sciences, 8(3), 486-494.
  • Çağlar, E. 2024b Integrating Innovative Technologies into Postharvest Fruit Storage Systems. In Postharvest Physiology and Handling of Horticultural Crops (pp. 234-244). CRC Press.
  • Champness, M., Ballester-Lurbe, C., Filev-Maia, R., & Hornbuckle, J. 2023. Smart sensing and automated irrigation for sustainable rice systems: A state of the art review. Advances in Agronomy, 177, 259-285.
  • Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98.
  • Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. 2022. Smart farming: Internet of Things (IoT) based sustainable agriculture. Agriculture, 12(10), 1745.
  • Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., & Wang, X. 2021. Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies. IEEE/CAA Journal of Automatica Sinica, 8(4), 718-752.
  • Gupta, Z., & Bindal, A. 2022. Comprehensive survey on sustainable smart agriculture using IOT technologies. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2640-2645). IEEE.
  • Hassan, R., Qamar, F., Hasan, M. K., Aman, A. H. M., & Ahmed, A. S. 2020. Internet of Things and its applications: A comprehensive survey. Symmetry, 12(10), 1674.
  • Hrustek, L. (2020). Sustainability driven by agriculture through digital transformation. Sustainability, 12(20), 8596.
  • Ifty, S. M. H., Hossain, B., Ashakin, M. R., Tusher, M. I., Shadhin, R. H., Hoque, J., Hoque, R., Chowdhury & Sunny, A. R. (2023). Adoption of IoT in Agriculture-Systematic Review. Applied Agriculture Sciences, 1(1), 1-10.
  • Javaid, M., Haleem, A., Singh, R. P., & Suman, R. 2022. Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150-164.
  • Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. 2022. A review of Blockchain Technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(3), 100073.
  • John, M. A., Bankole, I., Ajayi-Moses, O., Ijila, T., Jeje, O., & Lalit, P. 2023. Relevance of advanced plant disease detection techniques in disease and Pest Management for Ensuring Food Security and Their Implication: A review. American Journal of Plant Sciences, 14(11), 1260-1295.
  • Khan, N., Ray, R. L., Sargani, G. R., Ihtisham, M., Khayyam, M., & Ismail, S. 2021. Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture. Sustainability, 13(9), 4883.
  • Laghari, A. A., Wu, K., Laghari, R. A., Ali, M., & Khan, A. A. 2021. A review and state of art of Internet of Things (IoT). Archives of Computational Methods in Engineering, 1-19.
  • Lillestrøm, V., Haddara, M., & Langseth, M. (2024). Unlocking the Potentials of IoT Adoption in Agriculture: Insights from Norwegian Farmers. Procedia Computer Science, 239, 1015-1026.
  • Lin, D., Lee, C. K. M., & Lin, K. 2016. Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 612-615). IEEE.
  • Lv, Z., Lloret, J., & Song, H. 2020. Internet of Things and augmented reality in the age of 5G. Computer Communications, 164, 158-161.
  • Madushanki, A. R., Halgamuge, M. N., Wirasagoda, W. S., & Syed, A. (2019). Adoption of the Internet of Things (IoT) in agriculture and smart farming towards urban greening: A review. International Journal of Advanced Computer Science and Applications, 10(4), 11-28.
  • Mishra, H., & Mishra, D. (2024). AI for Data-Driven Decision-Making in Smart Agriculture: From Field to Farm Management. In Artificial Intelligence Techniques in Smart Agriculture (pp. 173-193). Singapore: Springer Nature Singapore.
  • Özbilge, E., Kırsal, Y., & Çaglar, E. 2020. Modelling and analysis of IoT technology using neural networks in agriculture environment. International Journal of Computers Communications & Control, 15(3).
  • Paramesha, M., Rane, N. L., & Rane, J. 2024. Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133.
  • Prakash, C., Singh, L. P., Gupta, A., & Lohan, S. K. 2023. Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation. Sensors and Actuators A: Physical, 114605.
  • Rakha, N. A. 2023. Revolution in learning through digitization: How technology is changing the landscape of education. International Journal of Cyber Law, 1(3).
  • Santosh, S., & Raghavendra, R. 2023. Iot–Enabled Technologies for Sustainable Smart Agriculture and their Comprehensive Survey. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 467-472). IEEE.
  • Sinha, B. B., & Dhanalakshmi, R. 2022. Recent advancements and challenges of Internet of Things in smart agriculture: A survey. Future Generation Computer Systems, 126, 169-184.
  • Wolfert, S., & Isakhanyan, G. (2022). Sustainable agriculture by the Internet of Things–A practitioner’s approach to monitor sustainability progress. Computers and Electronics in Agriculture, 200, 107226.

Effect Factors Evaluation of Internet of Things (IoT) Adoption in Agriculture: A Research on Small Island Development

Year 2025, Volume: 28 Issue: 5, 1276 - 1292

Ersin Çağlar

https://doi.org/10.18016/ksutarimdoga.vi.1639595

Abstract

The rapid development of technology is bringing about fundamental changes in all areas of life, transforming traditional methods into digital solutions. In recent years, technological advancements have offered new opportunities across various sectors—from production and logistics to healthcare and agriculture—delivering significant gains in terms of efficiency and sustainability. In this context, Internet of Things (IoT) technologies are being used in the agricultural sector to increase productivity, optimize resource utilization, and promote sustainable production processes. Thanks to this technology, farmers can monitor environmental factors such as soil moisture, temperature, light, and pH levels in real time, and increase yield by applying appropriate agricultural techniques. Despite all these advantages, some farmers may be reluctant to adopt IoT due to concerns over its complexity compared to traditional methods or the perceived risk of job loss. This study aims to evaluate farmers’ attitudes toward IoT technology by taking their concerns into account. The study analyzes whether three different factors have a positive (plus sign) or negative (minus sign) effect on IoT adoption in the agricultural sector. The analysis reveals not only significant differences but also similarities among different farmer groups. These findings provide important insights into which factors are more influential in the adoption of IoT. It is expected that such analyses will help guide the development of strategies tailored to different groups and support the wider adoption of IoT technologies in agriculture.

Keywords

Agriculture Internet of Things Technology and Innovative Management Information Systems Adaption of Technology

References

  • Ahmad, H. B., Asaad, R. R., Almufti, S. M., Hani, A. A., Sallow, A. B., & Zeebaree, S. R. 2024. Smart home energy saving with big data and machine learning. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(1), 11-20.
  • Ahmad, T., & Zhang, D. 2021. Using the internet of things in smart energy systems and networks. Sustainable Cities and Society, 68, 102783.
  • Al-Obaidi, K. M., Hossain, M., Alduais, N. A., Al-Duais, H. S., Omrany, H., & Ghaffarianhoseini, A. 2022. A review of using IoT for energy efficient buildings and cities: a built environment perspective. Energies, 15(16), 5991.
  • Amjad, A., Kordel, P., & Fernandes, G. 2023. A review on innovation in healthcare sector (telehealth) through artificial intelligence. Sustainability, 15(8), 6655.
  • Baethge-Kinsky, V. 2020. Digitized industrial work: Requirements, opportunities, and problems of competence development. Frontiers in sociology, 5, 33.
  • Baker, J. 2012. The technology organization environment framework. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, 231-245.
  • Balamurugan, S., Ayyasamy, A., & Joseph, K. S. 2022. IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain. International Journal of Information Technology, 14(2), 1087-1098.
  • Bayramoğlu, Z., Doğan, H. G., Ağızan, K., & Candemir, S. 2025. 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.
  • Baytorun, A. N., Akyüz, A., Üstün, S., & Çaylı, A. 2018. Sera Isı Gereksinimi Hesaplama Modelinin “ISIGER-SERA” Çukurova Koşullarında Test Edilmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 21(5), 699-707.
  • Çağlar, E. 2024a. The impact of sectors on agriculture based on artificial intelligence data: a case study on G7 countries and Turkiye. International Journal of Agriculture Environment and Food Sciences, 8(3), 486-494.
  • Çağlar, E. 2024b Integrating Innovative Technologies into Postharvest Fruit Storage Systems. In Postharvest Physiology and Handling of Horticultural Crops (pp. 234-244). CRC Press.
  • Champness, M., Ballester-Lurbe, C., Filev-Maia, R., & Hornbuckle, J. 2023. Smart sensing and automated irrigation for sustainable rice systems: A state of the art review. Advances in Agronomy, 177, 259-285.
  • Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98.
  • Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. 2022. Smart farming: Internet of Things (IoT) based sustainable agriculture. Agriculture, 12(10), 1745.
  • Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., & Wang, X. 2021. Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies. IEEE/CAA Journal of Automatica Sinica, 8(4), 718-752.
  • Gupta, Z., & Bindal, A. 2022. Comprehensive survey on sustainable smart agriculture using IOT technologies. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2640-2645). IEEE.
  • Hassan, R., Qamar, F., Hasan, M. K., Aman, A. H. M., & Ahmed, A. S. 2020. Internet of Things and its applications: A comprehensive survey. Symmetry, 12(10), 1674.
  • Hrustek, L. (2020). Sustainability driven by agriculture through digital transformation. Sustainability, 12(20), 8596.
  • Ifty, S. M. H., Hossain, B., Ashakin, M. R., Tusher, M. I., Shadhin, R. H., Hoque, J., Hoque, R., Chowdhury & Sunny, A. R. (2023). Adoption of IoT in Agriculture-Systematic Review. Applied Agriculture Sciences, 1(1), 1-10.
  • Javaid, M., Haleem, A., Singh, R. P., & Suman, R. 2022. Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150-164.
  • Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. 2022. A review of Blockchain Technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(3), 100073.
  • John, M. A., Bankole, I., Ajayi-Moses, O., Ijila, T., Jeje, O., & Lalit, P. 2023. Relevance of advanced plant disease detection techniques in disease and Pest Management for Ensuring Food Security and Their Implication: A review. American Journal of Plant Sciences, 14(11), 1260-1295.
  • Khan, N., Ray, R. L., Sargani, G. R., Ihtisham, M., Khayyam, M., & Ismail, S. 2021. Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture. Sustainability, 13(9), 4883.
  • Laghari, A. A., Wu, K., Laghari, R. A., Ali, M., & Khan, A. A. 2021. A review and state of art of Internet of Things (IoT). Archives of Computational Methods in Engineering, 1-19.
  • Lillestrøm, V., Haddara, M., & Langseth, M. (2024). Unlocking the Potentials of IoT Adoption in Agriculture: Insights from Norwegian Farmers. Procedia Computer Science, 239, 1015-1026.
  • Lin, D., Lee, C. K. M., & Lin, K. 2016. Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 612-615). IEEE.
  • Lv, Z., Lloret, J., & Song, H. 2020. Internet of Things and augmented reality in the age of 5G. Computer Communications, 164, 158-161.
  • Madushanki, A. R., Halgamuge, M. N., Wirasagoda, W. S., & Syed, A. (2019). Adoption of the Internet of Things (IoT) in agriculture and smart farming towards urban greening: A review. International Journal of Advanced Computer Science and Applications, 10(4), 11-28.
  • Mishra, H., & Mishra, D. (2024). AI for Data-Driven Decision-Making in Smart Agriculture: From Field to Farm Management. In Artificial Intelligence Techniques in Smart Agriculture (pp. 173-193). Singapore: Springer Nature Singapore.
  • Özbilge, E., Kırsal, Y., & Çaglar, E. 2020. Modelling and analysis of IoT technology using neural networks in agriculture environment. International Journal of Computers Communications & Control, 15(3).
  • Paramesha, M., Rane, N. L., & Rane, J. 2024. Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133.
  • Prakash, C., Singh, L. P., Gupta, A., & Lohan, S. K. 2023. Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation. Sensors and Actuators A: Physical, 114605.
  • Rakha, N. A. 2023. Revolution in learning through digitization: How technology is changing the landscape of education. International Journal of Cyber Law, 1(3).
  • Santosh, S., & Raghavendra, R. 2023. Iot–Enabled Technologies for Sustainable Smart Agriculture and their Comprehensive Survey. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 467-472). IEEE.
  • Sinha, B. B., & Dhanalakshmi, R. 2022. Recent advancements and challenges of Internet of Things in smart agriculture: A survey. Future Generation Computer Systems, 126, 169-184.
  • Wolfert, S., & Isakhanyan, G. (2022). Sustainable agriculture by the Internet of Things–A practitioner’s approach to monitor sustainability progress. Computers and Electronics in Agriculture, 200, 107226.
There are 36 citations in total.

Details

Primary Language English
Subjects Plant Biotechnology
Journal Section RESEARCH ARTICLE
Authors

Ersin Çağlar 0000-0002-2175-5141

Early Pub Date July 25, 2025
Publication Date
Submission Date February 13, 2025
Acceptance Date June 27, 2025
Published in Issue Year 2025Volume: 28 Issue: 5

Cite

APA Çağlar, E. (2025). 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, 28(5), 1276-1292. https://doi.org/10.18016/ksutarimdoga.vi.1639595
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