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A Bibliometric and Thematic Approach to Digital Agriculture Research

Cilt: 2 Sayı: 1 14 Temmuz 2025
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A Bibliometric and Thematic Approach to Digital Agriculture Research

Öz

This study presents a bibliometric analysis aiming to identify research trends, main themes and strategic issues in the field of digital agriculture from 2019 to 2023. The number of publications, author productivity, citations and keyword trends were assessed by analyzing 508 publications obtained from the Scopus database with Bibliometrix software. The findings show a notable increase in academic output around the main themes of data governance, agricultural data and data access. This study contributes to the field by systematically mapping existing knowledge and research gaps and provides valuable insights for future research. Prominent findings include the integration of technological innovations in agriculture and their impact on productivity and sustainability. The study recommends the development of technological infrastructure and the provision of farmer training programs to promote the effective adoption of digital agricultural technologies.

Anahtar Kelimeler

Digital agriculture, Bibliometric analysis, Thematic analysis

Teşekkür

This study was presented as an oral presentation at the 11th International Management Information Systems Conference, October 24-26, 2024, Konya Food and Agriculture University, Konya, Türkiye.

Kaynakça

  1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  2. Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of Social Indicators Research. Social Indicators Research. https://doi.org/10.1007/s11205-020-02281-3
  3. Bertoglio, R., Corbo, C., Renga, F. M., & Matteucci, M. (2021). The digital agricultural revolution: A bibliometric analysis literature review. IEEE Access, 9, 108658–108674. https://doi.org/10.1109/ACCESS.2021.3101211
  4. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002
  5. Cobo, M. J., Martínez, M. A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at Knowledge-Based Systems: A bibliometric analysis. Knowledge-Based Systems, 80, 3–13. https://doi.org/10.1016/j.knosys.2014.12.035
  6. Harzing, A.-W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: A longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787–804. https://doi.org/10.1007/s11192-015-1798-9
  7. Hasan, A. S. M. M., Sohel, F., Diepeveen, D., Laga, H., & Jones, M. G. K. (2021). A survey of deep learning techniques for weed detection from images. Computers and Electronics in Agriculture, 184, 106067. https://doi.org/10.1016/j.compag.2021.106067
  8. Jin, R., Gao, S., Cheshmehzangi, A., & Aboagye-Nimo, E. (2018). A holistic review of off-site construction literature published between 2008 and 2018. Journal of Cleaner Production, 202, 1202–1219. https://doi.org/10.1016/j.jclepro.2018.08.195
  9. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and Agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90–91, 100315. https://doi.org/10.1016/j.njas.2019.100315
  10. Klerkx, L., & Rose, D. (2020). Dealing with the game-changing technologies of Agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways? Global Food Security, 24, 100347. https://doi.org/10.1016/j.gfs.2019.100347

Kaynak Göster

APA
Ayaz, A., & Ayaz, R. (2025). A Bibliometric and Thematic Approach to Digital Agriculture Research. Uygulamalı Mühendislik ve Tarım Dergisi, 2(1), 1-10. https://izlik.org/JA32UU58FN
AMA
1.Ayaz A, Ayaz R. A Bibliometric and Thematic Approach to Digital Agriculture Research. UMTD. 2025;2(1):1-10. https://izlik.org/JA32UU58FN
Chicago
Ayaz, Ahmet, ve Rukiye Ayaz. 2025. “A Bibliometric and Thematic Approach to Digital Agriculture Research”. Uygulamalı Mühendislik ve Tarım Dergisi 2 (1): 1-10. https://izlik.org/JA32UU58FN.
EndNote
Ayaz A, Ayaz R (01 Temmuz 2025) A Bibliometric and Thematic Approach to Digital Agriculture Research. Uygulamalı Mühendislik ve Tarım Dergisi 2 1 1–10.
IEEE
[1]A. Ayaz ve R. Ayaz, “A Bibliometric and Thematic Approach to Digital Agriculture Research”, UMTD, c. 2, sy 1, ss. 1–10, Tem. 2025, [çevrimiçi]. Erişim adresi: https://izlik.org/JA32UU58FN
ISNAD
Ayaz, Ahmet - Ayaz, Rukiye. “A Bibliometric and Thematic Approach to Digital Agriculture Research”. Uygulamalı Mühendislik ve Tarım Dergisi 2/1 (01 Temmuz 2025): 1-10. https://izlik.org/JA32UU58FN.
JAMA
1.Ayaz A, Ayaz R. A Bibliometric and Thematic Approach to Digital Agriculture Research. UMTD. 2025;2:1–10.
MLA
Ayaz, Ahmet, ve Rukiye Ayaz. “A Bibliometric and Thematic Approach to Digital Agriculture Research”. Uygulamalı Mühendislik ve Tarım Dergisi, c. 2, sy 1, Temmuz 2025, ss. 1-10, https://izlik.org/JA32UU58FN.
Vancouver
1.Ahmet Ayaz, Rukiye Ayaz. A Bibliometric and Thematic Approach to Digital Agriculture Research. UMTD [Internet]. 01 Temmuz 2025;2(1):1-10. Erişim adresi: https://izlik.org/JA32UU58FN