Open Access
E3S Web Conf.
Volume 210, 2020
Innovative Technologies in Science and Education (ITSE-2020)
Article Number 13004
Number of page(s) 8
Section Environmental Economics
Published online 04 December 2020
  1. Audit-IT/ru. Financial analysis based on reporting data. accessed 20.07.2020) [Google Scholar]
  2. L. O. Cezarino, Geospatial open data sources in Brazil. Espacios, 38 (11),26-33 (2017) (Last accessed 10. 06.2020) [Google Scholar]
  3. F. L. Khripliviy, A. F. Khripliviy, Comparative analysis of methods for assessing the financial condition of the enterprise Polythematic network electronic scientific journal of Kuban State Agrarian University, 81, 1-22 (2012) [Google Scholar]
  4. Database of Russian and CIS enterprise. accessed 06.06.2020) [Google Scholar]
  5. M. Dimitrijević, S. Vrzina, M. Lekovic, Agricultural Enterprises and Economic Growth: A Regional Analysis in the Republic of Serbia. Ekonomika poljoprivrede, 67(2), 585-600 (2020) DOI:10.5937/ekoPolj2002585D. (Last accessed 11. 05.2020) [CrossRef] [Google Scholar]
  6. FORTHEHONESTBUSINESS. Information portal. (Last accessed 16.07.2020) [Google Scholar]
  7. M. Hany, B. A. Youssef, S. M. Darwish, O. Hosam, Intelligent Watermarking System Based on Soft Computing. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (2020)DOI:10.1007/978-3-030-31129-2_3. (Last accessed 20. 07.2020) [Google Scholar]
  8. M. S. Kuvshinov, Innovative tools for forecasting and evaluating the financial condition of an enterprise, Bulletin of the South Ural State University, Series: Economics and management, (30), 56-66 (2012) [Google Scholar]
  9. H.-S. Kang, Agricultural Total Factor Productivity and Agricultural Exports: Based on the Major Agricultural Exporting Countries (2017) DOI: 10.16980/jitc.13.5.201710.239. (Last accessed 10. 06.2020) [Google Scholar]
  10. S. Melnyk, N. Shuprudko, I. Kolosovska, I. Berest, M. Pasichnyk, Anti-crisis personnel management in the process of ensuring the economic security of the enterprise. Business: Theory and Practice ISSN 1648-0627, eISSN 1822-42022020, 21(1), 272–281 DOI: (Last accessed 20.07.2020) [Google Scholar]
  11. D. Saini, J. H. Yousif, Environmental Scrutinizing System based on Soft Computing Technique. International Journal of Computer Applications, 62(13), 45-50 (2013) DOI: 10.5120/10143-4952. (Last accessed 20. 07.2020) [CrossRef] [Google Scholar]
  12. L. S. Sakharova, M. B. Stryukov, T. V. Alekseychik, T. V. Bogacheva, Yu. V. Kulikova, Assessment of the sustainability of agricultural production in the region based on five-level fuzzy [0,1] classifiers. International research journal, 6-2(72), 45-51 (2018) [Google Scholar]
  13. T. Yalamov, V. Albena, M. Arabadzhieva, Economic performance of agricultural enterprises in Bulgaria. Bulgarian Journal of Agricultural Science, 27(5) (2020) URL: (Last accessed 16. 07.2020) [Google Scholar]
  14. N. Іhnatenko, L. Marmul, Financial and investment sources and resources of ensuring competitiveness of agricultural enterprises. University Economic Bulletin (2020) DOI:10.31470/2306-546X-2020-44-13-18 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.