Effect of farmer’s age and level of education on the degree of adoption of precision technologies in sheep farms
DOI:
https://doi.org/10.61308/HXPV3414Keywords:
sheep farming, precision livestock farming (PLF), Balkan regionAbstract
This study analyzes the impact of age and education level on the awareness and information behavior of 270 sheep farmers in Bulgaria during the 2024 - 2025 period. The results demonstrate a significant information gap, as nearly 49% of the respondents are unfamiliar with precision livestock farming (PLF) technologies. Demographic indicators emerge as a leading factor in digital readiness - the highest levels of awareness and active behavior are observed among young farmers under 40 years old (46 %) and those with higher education (61.29 %), who combine three or more information sources. Conversely, among farmers over 61 years old and those with primary education, over 54 % are unfamiliar with these technologies, relying only on traditional channels or showing a complete lack of interest in innovation. Bridging this gap requires targeted training strategies to turn technology into a tool for economic sustainability. Similar demographic trends and barriers to innovation are also observed in neighboring countries - Serbia, Romania, and Turkey, where farmer aging and low digital literacy remain common regional challenges.
References
Akdemir, Ş., Kougnigan, E., Keskin, F., Akçaöz, H., Boz, İ., Kutlar, İ., Miassi, Y. E., Küsek, G. & Türker, M. (2021). Aging population and agricultural sustainability issues: case of turkey. New Medit, 20(4). https://hal.science/hal-03776653v1/file/AGING-POPULATION-AND-AGRICULTURAL-SUSTAINABILITY-ISSUES.pdf. DOI: https://doi.org/10.30682/nm2104d
Angyalos, Z., Botos, S. & Szilágyi, R. (2021). The importance of cybersecurity in modern agriculture. Journal of Agricultural Informatics, 12(2). https://doi.org/10.17700/jai.2021.12.2.604. DOI: https://doi.org/10.17700/jai.2021.12.2.604
Arshad, M. F., Burrai, G. P., Varcasia, A., Sini, M. F., Ahmed, F., Lai, G., Polinas, M., Antuofermo, E., Tamponi, C., Cocco, R., Corda, A. & Parpaglia, M. L. P. (2024). The groundbreaking impact of digitalization and artificial intelligence in sheep farming. Research in Veterinary Science, 170, 105197. https://doi.org/10.1016/j.rvsc.2024.105197. DOI: https://doi.org/10.1016/j.rvsc.2024.105197
Arulmozhi, E., Deb, N. C., Tamrakar, N., Kang, D. Y., Kang, M. Y., Kook, J., Basak, J. K. & Kim, H. T. (2024). From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins. Agriculture, 14(12), 2231. https://doi.org/10.3390/agriculture14122231. DOI: https://doi.org/10.3390/agriculture14122231
Aydin, A., Çay, A., Polat, B. & OR, A. (2020). Determination of the usage level of precision livestock farming technology of farmers in Çanakkale province. DergiPark (Istanbul University). https://dergipark.org.tr/tr/pub/tarmak/issue/56516/701141.
Bachev, H. (2020). Identification of Development Strategy and Intervention Needs of AKIS in Bulgaria. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3584471. DOI: https://doi.org/10.2139/ssrn.3584471
Bálint, J. & Lengyel, L. (2021). Knowledge Transfer for Economic Development: Online Farmer Traning in Vojvodina. Regionalnaya Ekonomika Yug Rossii, 3, 50. https://doi.org/10.15688/re.volsu.2021.3.5. DOI: https://doi.org/10.15688/re.volsu.2021.3.5
Basha, A., Vilar, P. & Stričević, I. (2014). Technology and media preferences: Results from some user studies in Albanian public libraries. Perspectives of Innovations Economics and Business, 14(3), 143. https://www.researchgate.net/publication/286638015_Technology_and_media_preferences_Results_from_some_user_studies_in_Albanian_public_libraries. DOI: https://doi.org/10.15208/pieb.2014.16
Beck, M., Bunnen, P. V., Wathelet, J.-M., Cozier, J., Ghysen, A., Dwyer, J., Micha, N., Kubinakova, K., Mantino, F., Lybaert, C., Debruyne, L., Mikk, M., Eberhardt, W., Papadopoulou, E., Powell, J., Vagnozzi, A., Lai, M., Longhitano, D., Cristiano, S. & Arzeni, A. (2021). Evaluation support study on the CAP’s impact on knowledge exchange and advisory activities : Final Report. Research Repository (University of Gloucestershire). https://doi.org/10.2762/045268.
Bojkovski, D., Simčič, M. & Kompan, D. (2015). Supports for local breeds in the European Region – an overview. PoljoPrivreda, 21(1 SUPPLEMENT), 7 - 10. https://doi.org/10.18047/poljo.21.1.sup.1. DOI: https://doi.org/10.18047/poljo.21.1.sup.1
Boz, İ. & Budak, D. B. (2015). Information sources used and extension methods preferred by dairy farmers. Journal of Extension Systems, 29(2). https://www.researchgate.net/publication/283450475_INFORMATION_SOURCES_USED_AND_EXTENSION_METHODS_PREFERRED_BY_DAIRY_FARMERS. DOI: https://doi.org/10.18765/jes.v29i2.6021
Boz, İ. & Özçatalbaş, O. (2010). Determining information sources used by crop producers: A case study of Gaziantep province in Turkey. African Journal of Agricultural Research, 5(10), 980. https://www.researchgate.net/publication/228459392_Determining_information_sources_used_by_crop_producers_A_case_study_of_Gaziantep_province_in_Turkey.
Bunevski, G., Lazić, M. & Nikitović, J. (2016). Analysis of the total number of some ruminants in Bosnia and Herzegovina, Serbia and Macedonia. Acta Agriculturae Serbica, 21(41), 57. https://doi.org/10.5937/aaser1641057b. DOI: https://doi.org/10.5937/AASer1641057B
Caja, G., Castro-Costa, A., Salama, A. A. K., Oliver, J., Baratta, M., Ferrer, C. & Knight, C. H. (2020). Sensing solutions for improving the performance, health and wellbeing of small ruminants. Journal of Dairy Research, 87(S1), 34 - 46. https://doi.org/10.1017/s0022029920000667. DOI: https://doi.org/10.1017/S0022029920000667
Canan, S. (2023). Technology gap in sheep farms in Türkiye. Revista Brasileira de Zootecnia, 52, e20230022. https://doi.org/10.37496/rbz5220230022. DOI: https://doi.org/10.37496/rbz5220230022
Ciliberti, M. G., Caroprese, M. & Albenzio, M. (2024). Advanced Technologies in Sheep Extensive Farming on a Climate Change Context. In: IntechOpen eBooks. IntechOpen. https://doi.org/10.5772/intechopen.113833. DOI: https://doi.org/10.5772/intechopen.113833
Delanoue, E. (2022). Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science. https://doi.org/10.3920/978-90-8686-937-4. DOI: https://doi.org/10.3920/978-90-8686-937-4
Dimitrijević, M. & Stojić, V. (2019). Impact of agricultural advisory service on development of agricultural production. Ekonomika Poljoprivrede, 66(2), 617 - 634. https://doi.org/10.5937/ekopolj1902617d. DOI: https://doi.org/10.5937/ekoPolj1902617D
Eastwood, C., Edwards, P. & Turner, J. (2021). Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal, 15, 100296. https://doi.org/10.1016/j.animal.2021.100296. DOI: https://doi.org/10.1016/j.animal.2021.100296
Erdei-Gally, S. & Vágány, J. (2022). Role of precision agriculture in food supply. Ukrainian Food Journal, 11(3), 458. https://doi.org/10.24263/2304-974x-2022-11-3-10. DOI: https://doi.org/10.24263/2304-974X-2022-11-3-10
Eryilmaz, G. A., Kiliç, O., Boz, İ. & Kaynakçı, C. (2020). Evaluating the adoption of agricultural innovations and information sources of dairy cattle farms: The case of Bafra and Canik districts of Samsun province, Turkey. Journal of the Institute of Science and Technology, 10(2), 1361 - 1369. https://doi.org/10.21597/jist.665198. DOI: https://doi.org/10.21597/jist.665198
Fieldsend, A. F., Tudor, M. M., Varga, E., Florian, V., Rusu, M., Bíró, S., Chiriţescu, V. & Kruszlicika, M. (2017). Innovation in farming and rural areas in Hungary and Romania: its current state and determining factors. In: Rural Areas and Development, 325. https://doi.org/10.7896/e.1076. DOI: https://doi.org/10.7896/e.1076
Gavrilović, M., Bošković, B. & Veljkovic, B. (2025). APPLICATION OF SENSORY ANALYSIS IN LIVESTOCK FARMS IN SERBIA: A COMPARATIVE ANALYSIS WITH THE EU ANDDEVELOPED EUROPEAN COUNTRIES. Global Challenges Through the Prism of Rural Development in the Sector of Agriculture and Tourism GIRR 2024, 124. https://doi.org/10.46793/girr25.124g. DOI: https://doi.org/10.46793/GIRR25.124G
Genius, M., Koundouri, P., Nauges, C. & Tzouvelekas, V. (2013). Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects. American Journal of Agricultural Economics, 96(1), 328 - 344. https://doi.org/10.1093/ajae/aat054. DOI: https://doi.org/10.1093/ajae/aat054
Group, W. B. (2018). Exploring the Potential of Agriculture in the Western Balkans. In: World Bank, Washington, DC eBooks. https://doi.org/10.1596/32198. DOI: https://doi.org/10.1596/32198
Güldal, H. T., Sanli, H. & Türker, M. (2025). The path to smart farming: Profiling farmers’ adoption of technologies in Türkiye. RePEc: Research Papers in Economics. https://agricecon.agriculturejournals.cz/artkey/age-202505-0001_the-path-to-smart-farming-profiling-farmers-adoption-of-technologies-in-t-rkiye.php.
Ilić-Kosanović, T., Pažun, B., Langović, Z. & Tomić, S. (2019). Perception of small farmers in Serbia regarding the use of ICT and possibilities of organic agriculture. Ekonomika Poljoprivrede, 66(4), 989 - 1001. https://doi.org/10.5937/ekopolj1904989i. DOI: https://doi.org/10.5937/ekoPolj1904989I
Issa, A. A., Majed, S., Ameer, A. & Al–Jawahry, H. M. (2024). IoT and AI in Livestock Management: A Game Changer for Farmers. E3S Web of Conferences, 491, 2015. https://doi.org/10.1051/e3sconf/202449102015. DOI: https://doi.org/10.1051/e3sconf/202449102015
Jurjević, Ž., Bogićević, I., Đokić, D. & Matkovski, B. (2019). Information technology as a factor of sustainable development of Serbian agriculture. Strategic Management, 24(1), 41. https://doi.org/10.5937/straman1901041j. DOI: https://doi.org/10.5937/StraMan1901041J
Király, G., Vágó, S., Bull, E., Cruyssen, L. V. D., Arbour, T., Spanoghe, P. & Dijk, L. van. (2023). Information behaviour of farmers, foresters, and advisors in the context of digitalization in the EU. Studies in Agricultural Economics, 125(1), 1 - 12. https://doi.org/10.7896/j.2392. DOI: https://doi.org/10.7896/j.2392
Lima, E., Hopkins, T. H., Gurney, E., Shortall, O., Lovatt, F., Davies, P., Williamson, G. S. & Kaler, J. (2018). Drivers for precision livestock technology adoption: A study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales. PLoS ONE, 13(1), e0190489. https://doi.org/10.1371/journal.pone.0190489. DOI: https://doi.org/10.1371/journal.pone.0190489
Маrkov, N. V., Stoycheva, S., Hristov, M. & Mondeshka, L. (2022). Digital management of technological processes in cattle farms: a review [Review of Digital management of technological processes in cattle farms: a review]. Journal of Central European Agriculture, 23(3), 486 - 495. University of Zagreb, Faculty of Agriculture. https://doi.org/10.5513/jcea01/23.3.3543. DOI: https://doi.org/10.5513/JCEA01/23.3.3543
Marku, D., Hoxha-Jahja, A. & Pfaff, S. A. (2024). Exploring Barriers to Technology Adoption in Livestock Farming: A Descriptive Comparative Analysis Between Finland, Germany, and Albania. International Scientific Conference ERAZ. Knowledge Based Sustainable Development, 233. https://doi.org/10.31410/eraz.2024.233. DOI: https://doi.org/10.31410/ERAZ.2024.233
Masi, M., Rosa, M. D., Vecchio, Y., Bartoli, L. & Adinolfi, F. (2022). The long way to innovation adoption: insights from precision agriculture. Agricultural and Food Economics, 10(1), 27. https://doi.org/10.1186/s40100-022-00236-5. DOI: https://doi.org/10.1186/s40100-022-00236-5
Mičić, I., Rajić, Z. & Halilagić, A. (2020). Strategy of organizational-technological solutions on production of lamb for sale in farms conditions. Ekonomika Poljoprivrede, 67(1), 125. https://doi.org/10.5937/ekopolj2001125m. DOI: https://doi.org/10.5937/ekoPolj2001125M
Milićević, D., Lukić, M., Samolovac, L. & Milićević, D. (2025). Livestock Sector in Serbia: Challenges, Structural Gaps, and Strategic Pathways towards Sustainability. Preprints.Org. https://doi.org/10.20944/preprints202507.1259.v1. DOI: https://doi.org/10.20944/preprints202507.1259.v1
Miteva, Ch., Taneva, T., Mitev, E. & Stoev, S. (2025). ATTITUDE OF BULGARIAN DAIRY FARMERS TOWARDS THE EXTENSION SERVICES AND SPECIALIZED ASSISTANCE USED IN THEIR ACTIVITIES. Trakia Journal of Sciences, 23(4), 12. https://doi.org/10.15547/tjs.2025.4.003. DOI: https://doi.org/10.15547/tjs.2025.4.003
Morgan‐Davies, C., Gautier, J.-M., García, E. G., Halachmi, I., Caja, G., Grøva, L., Molle, G., Kenyon, F., Lagriffoul, G., Schmoelzl, S., Wishart, H., Waterhouse, A. & McCracken, D. I. (2019). Potential of precision livestock farming in small ruminant farming systems. HAL (Le Centre Pour La Communication Scientifique Directe). https://hal.inrae.fr/hal-02735217.
Ocak, S. (2019). SheepNet Share Solutions to Improve Efficiency in Sheep. DergiPark (Istanbul University). https://dergipark.org.tr/tr/pub/bssocialscience/issue/42092/505799.
Paolino, R., Trana, A. D., Coppola, A., Sabia, E., Riviezzi, A. M., Vignozzi, L., Claps, S., Caparra, P., Pacelli, C. & Braghieri, A. (2025). May the Extensive Farming System of Small Ruminants Be Smart? Agriculture, 15(9), 929. https://doi.org/10.3390/agriculture15090929. DOI: https://doi.org/10.3390/agriculture15090929
Radović, V., Pešić, B., Filipović, J. & Ćosić, M. (2021). Agricultural advisors’ role in the use of ICTs as a tool for a more sustainable Serbian agriculture. Ekonomika Poljoprivrede, 68(2), 477 - 490. https://doi.org/10.5937/ekopolj2102477v. DOI: https://doi.org/10.5937/ekoPolj2102477V
Rakun, J., Rihter, E., Kelc, D., Stajnko, D., Vindiš, P., Berk, P., Polič, P. & Lakota, M. (2022). Possibilities and concerns of implementing precision agriculture technologies on small farms in Slovenia. International Journal of Agricultural and Biological Engineering, 15(3), 16. https://doi.org/10.25165/j.ijabe.20221503.6111. DOI: https://doi.org/10.25165/j.ijabe.20221503.6111
Salih, A. A. (2020). Obstacles to agricultural extension in Romania. Journal of Genetic and Environment Conservation, 8(1), 1 - 8. https://gercj.com/index.php/gercj/article/view/138.
Salih, A. A. (2021). Mechanism for the dissemination of agricultural technologies in Romania. Journal of Agricultural Research, 10(2), 59 - 67. https://doi.org/10.54174/utjagr.v10i2.133. DOI: https://doi.org/10.54174/utjagr.v10i2.133
Sarov, А., Ivanov, B., Mihailova, M., Bozhinov, B. & Vasilyeva, S. V. (2024). Statistical grouping in studying farmers’ attitudes for adopting practices of precise agriculture. Bulgarian Journal of Agricultural Economics and Management, 69(1), 27 - 37. https://doi.org/10.61308/hubs9978. DOI: https://doi.org/10.61308/HUBS9978
Simitzis, P., Tzanidakis, C., Tzamaloukas, O. & Sossidou, E. (2021). Contribution of Precision Livestock Farming Systems to the Improvement of Welfare Status and Productivity of Dairy Animals. Dairy, 3(1), 12 - 28. https://doi.org/10.3390/dairy3010002. DOI: https://doi.org/10.3390/dairy3010002
Stępień, S., Smędzik-Ambroży, K., Polcyn, J., Кwilinski, A. & Maican, I. (2023). Are small farms sustainable and technologically smart? Evidence from Poland, Romania, and Lithuania. Central European Economic Journal, 10(57), 116 - 132. https://doi.org/10.2478/ceej-2023-0007. DOI: https://doi.org/10.2478/ceej-2023-0007
Stoian, M., Dobre, I., Popescu, C., Vasile, M., Dimitriu, A. T. & Ion, A. (2022). Increasing sustainability of food production and ensuring human health through agriculture digitalization. Ekonomika Poljoprivrede, 69(4), 1209 - 1223. https://doi.org/10.5937/ekopolj2204209s. DOI: https://doi.org/10.5937/ekoPolj2204209S
Trajkovski, K. G. (2024). Credibility assessment of agricultural information sources by smallholder farmers across communication channels. International Journal of Agriculture Extension and Social Development, 7(11), 210. https://doi.org/10.33545/26180723.2024.v7.i11c.3148. DOI: https://doi.org/10.33545/26180723.2024.v7.i11c.3148
Vaintrub, M. O., Levit, H., Chincarini, M., Fusaro, I., Giammarco, M. & Vignola, G. (2020). Review: Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming. Animal, 15(3), 100143. https://doi.org/10.1016/j.animal.2020.100143. DOI: https://doi.org/10.1016/j.animal.2020.100143
Vidas-Bubanja, M., Bogetić, S., Bešić, C., Kalinić, Z. & Bubanja, I. (2023). Managing the reskilling revolution for the digital age: Case study: Western Balkan countries. Journal of Engineering Management and Competitiveness, 13(1), 37 - 52. https://doi.org/10.5937/jemc2301037v. DOI: https://doi.org/10.5937/JEMC2301037V
Vukanović, Z. (2018). The influence of ICT megatrends on global megatrends. Informatologia, 51(1-2), 43 - 52. https://doi.org/10.32914/i.51.1-2.5. DOI: https://doi.org/10.32914/i.51.1-2.5
World Food and Agriculture – Statistical Yearbook (2024). In: FAO eBooks. https://doi.org/10.4060/cd2971en. DOI: https://doi.org/10.4060/cd2971en
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Bulgarian Journal of Animal Husbandry

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

