Academic Journal

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Implementation of digital forms for integrated data processing and information analysis: A factor for sustainable development of agriculture.
Συγγραφείς: Doneva, Maria, Nacheva, Iliana B., Metodieva, Petya, Mihailova, Mihaela Mihailova, Gandeva, Rumena, Sarov, Angel Stankov, Kozareva, Boryana
Πηγή: Bulgarian Journal of Agricultural Science; Jun2026, Vol. 32 Issue 3, p526-532, 7p
Θεματικοί όροι: Data integration, Sustainable agriculture, Digital technology, Information storage & retrieval systems, Electronic data processing, Data analysis, Scientific method, Databases
Εταιρία/Οντότητα: Statistical Office of the European Communities
Περίληψη: 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 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 [ABSTRACT FROM AUTHOR]
Copyright of Bulgarian Journal of Agricultural Science is the property of Agricultural Academy in Bulgaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: 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 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 [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Bulgarian Journal of Agricultural Science is the property of Agricultural Academy in Bulgaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2026
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