Digitalization is one of the main priorities of Europe and the European Union in the field of agriculture. It makes a large number of work processes much easier and less time-consuming. By digitalization, we mean the digital representation and digital form of the signal with which the defined tasks reach us. In modern practice, digitized data are in the form of binary numbers that facilitate computer processing in the agricultural sector. The objective we set in this paper is to find out whether digitization is applicable in a wide range as one of the successful strategies in the North East planning region in the agricultural sector in Bulgaria. To achieve this goal, we have used methods of extrapolation, deduction, induction, method of pre-structured interview, survey method and also methods of analysis and synthesis. The results we arrive at can be used with success by software companies developing specialized software for the agrarian sphere, as well as by agrarian companies wishing to put such software into practice. In addition, they can be used by all scientists and specialists in the field of digital transformation and development of the agricultural sector, both in Bulgaria and abroad.
Abiri, R., Rizan, N., Balasundram, S., Shahbazi, A., Abdul-Hamid, H. (2023) Application of digital technologies for ensuring agricultural productivity., PMID: 38125472 Free PMC article.
Alisa, A. (2019) News what is the difference between precision, digital and smart farming, Digital Agriculture, 13.08.2019
Beznosov, G., Semin, A., Skvortsov, E., Volkova, S. (2019) The economic essence of the category of precision agriculture, Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
DLG- The DLG Committee for Digitalisation, Labour Economics and Process Technology, (2017) Digital Agriculture - Opportunities. Risks. Acceptance., A DLG position, paper, Agrifuture- Digital Farming. [Online] Available from: https://www.dlg.org/en/agriculture/topics/a-dlgposition-paper, 202[Accessed 07/10/2024].
Klerkxa, L., Jakkub, E., & Labarthec, 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., [Online] Available from: https://doi.org/10.1016/j.njas.2019.100315 (available only in electronic format, no pages)
Kritikos, М. (2017) Precision agriculture in Europe, Legal, social and ethical considerations, EPRS (European Parliamentary Research), Scientific Foresight Unit Nov. 2017 – PE 603.207
Nasirahmadi A, Hensel O. (2022) Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm., Sensors (Basel), Jan 10; volume 22, issue 2, pp.498.
Rohoza, М., Perebynis, V.,Verha, K. (2019) Cooperation and integration processes and models in context of development of branches of economy and territories”, The London Academy of Science and Business, Journal: Virtual Economics, No: 1, pp. 49-52
Skvortsov, E. (2021) How digital agriculture and big data will help to feed a growing world [Online]Available from:-https://www.ey.com/en_gl/consulting/ 2021[Accessed 09/10/2024].
Slavova, G. (2020) Development of digital agriculture in Bulgaria-opportunities, obstacles, prospects, International Conference "Human Resource Management"-HR/2020, [Online] Available from: https://conference.ue-varna.bg/ Department-of-Agricultural-Economics/ ARA2021/48-58.pdf
Tashkova, El. (2020) Digital Technologies Theoretical Statements and Application Possibilities in the Agrarian Sector, Annual Alamani Research of Doctoral Students, Volume 13, Book 16, pp. 519-520
Upendra, S., Umesh, M., Ravi, V., Basavaprasad, B. (2020) Technology in Indian agriculture – A review. Indonesian Journal of Electrical Engineering and Computer Science, 20(2), pp. 1070-1077.
