Implementation of digital forms for integrated data processing and information analysis: A factor for sustainable development of agriculture

Maria Doneva; Iliana B. Nacheva; Petya Metodieva; Mihaela M. Mihailova; Rumena Gandeva; Angel Stankov Sarov; Boryana Kozareva

Maria Doneva

, Iliana B. Nacheva

, Petya Metodieva

, Mihaela M. Mihailova

, Rumena Gandeva

, Angel Stankov Sarov

, Boryana Kozareva

Abstract: The article examines the role of digital databases and information systems in the development of sustainable agriculture and support for scientific research. The main goal is to analyze to what extent integrated data processing improves scientific activity and decision-making in the agricultural sector, as well as to identify existing problems and opportunities for development.
To achieve this goal, a comparative analysis of various national and European institutional databases related to agriculture was applied. Systems of Eurostat, NSI, MAF, NRA, NSSI and other institutions were studied, and their accessibility, applicability and degree of integration were assessed. Additionally, Google Trends was used to track public interest in agricultural and institutional data.
The results show that the integrated data of Eurostat and NSI have the highest degree of applicability for scientific research, especially when assessing sustainable agricultural practices. However, a number of problems were identified - fragmentation of information systems, limited access to microdata and insufficient coordination between institutions. The study highlights the need for better integration, digitalization and open access to information, which would support both the scientific community and agricultural practice.

Keywords: agriculture; database; digitalization; information; Sustainable Development Goals (SDGs)

Citation: Doneva, M., Nacheva, I. B., Metodieva, P., Mihailova, M. M., Gandeva, R., Sarov, A. S. & Kozareva, B. (2026). Implementation of digital forms for integrated data processing and information analysis: A factor for sustainable development of agriculture. Bulg. J. Agric. Sci., 32(3), 526–532

References: (click to open/close)

Carvalho, H. F. De S., Bezerra, L. M. C. & Rosa, F. de F. (2025).Database Models in Agriculture: a systematic review. Cadernos de Ciência & Tecnologia, 42, e27757. DOI: https://doi.org/10.35977/0104 1096.cct2025.v42.27757.
Chao, H., Zhang, S., Hu, Y., Ni, Q., Xin, S., Zhao, L., Ivanisenko, V. A., Orlov, Y. L. & Chen, M. (2023)."Integrating omics databases for enhanced crop breeding". Journal of Integrative Bioinformatics, 20(4), 20230012. https://doi.org/10.1515/jib-2023-0012.
FAO. (2019). Climate-smart agriculture and the Sustainable Development Goals: Mapping interlinkages, synergies and trade-offs and guidelines for integrated implementation. Rome.
Figueiredo, M. S. N & Pereira, A. M. (2017). Managing knowledge – the importance of databases in the scientific production. Procedia Manufacturing, 12, 166 – 173. International Conference on Sustainable and Intelligent Manufacturing, RESIM 2016, 14-17 December 2016, Leiria, Portugal.
Fisher, J., Arora, P., Chen, S., Rhee, S., Blaine, T. & Simangan, D. (2021). Four prepositions on integrated sustainability: Toward a theoretical framework to understand the environment, peace, and sustainability nexus. Sustain. Sci., 16, 1125 - 1145.
Hine, C. (2006). Databases as Scientific Instruments and Their Role in the Ordering of Scientific Work. Social Studies of Science, 36(2), 269 - 298. Published By: Sage Publications, Ltd.
Kabadzhova, M. (2022). Attractiveness of the agricultural sector to achieving generational renewal. Bulg. J. Agric. Sci., 28(1), 3 - 9.
Kalinowska, B., Bórawski, P., Bełdycka-Bórawska, A., Klepacki, B., Perkowska, A. & Rokicki, T. (2022). Sustainable Development of Agriculture in Member States of the European Union. Sustainability, 14, 4184. https://doi.org/10.3390/ su14074184.
Kociszewski, K. (2018). Sustainable development of agriculture - theoretical aspects and their implications. Economic and Environmental Studies, 18, No. 3(47), 1119 - 1134, September 2018.
Mousavi Chalak, A., Riahi, A. & Zare, A. (2017). Students’ awareness, use of and satisfaction with scientific databases and their related factors at Mazandaran University of Medical Sciences (2016-2017). Educ. Res. Med. Sci., 6(2), 84 - 90.
Mthembu, T. L., Kunz, R., Gokool, S. & Mabhaudhi, T. (2024). The Use of Agricultural Databases for Crop Modeling: A Scoping Review. Sustainability, 16(15), 6554. https://doi.org/10.3390/su16156554.
Ngo, V. M. & Kechadi, M. T. (2020, January). Crop knowledge discovery based on agricultural big data integration. In: Proceedings of the 4th International Conference on Machine Learning and Soft Computing, 46 - 50.
Putsenteilo, P., Klapkiv, Y., Karpenko, V. & Gvozdecka, I. (2020). The role of institutions in the development of agriculture. Bulg. J. Agric. Sci., 26(1), 23–33.
Rao, N. C., Bathla, S., Kumar, A. & Jha, G. K. (2018). Agriculture and sustainable development goals: an overview and issues. Agricultural Economics Research Review, 31(conf), 1. https://doi.org/10.5958/0974-0279.2018.00016.2.
United Nations Department of Economic and Social Affairs (2025). The Sustainable Development Goals Report 2025. New York. (Revision August 2025.
Wanto, H. S. (2023). Sustainable agricultural policy strategy through increasing food crop productivity in Indonesia. Bulg. J. Agric. Sci., 29(2), 223 - 228.

Date published: 2026-06-25

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