Research Article

Providing Information Support for Decision-making in Agricultural Production Through Implementation of Cross-platform Technologies

by  Irina Bolodurina, Rustam Rakhmatullin, Eugenij Speshilov, Petr Boldyrev
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 73
Published: January 2026
Authors: Irina Bolodurina, Rustam Rakhmatullin, Eugenij Speshilov, Petr Boldyrev
10.5120/ijca2026926234
PDF

Irina Bolodurina, Rustam Rakhmatullin, Eugenij Speshilov, Petr Boldyrev . Providing Information Support for Decision-making in Agricultural Production Through Implementation of Cross-platform Technologies. International Journal of Computer Applications. 187, 73 (January 2026), 42-47. DOI=10.5120/ijca2026926234

                        @article{ 10.5120/ijca2026926234,
                        author  = { Irina Bolodurina,Rustam Rakhmatullin,Eugenij Speshilov,Petr Boldyrev },
                        title   = { Providing Information Support for Decision-making in Agricultural Production Through Implementation of Cross-platform Technologies },
                        journal = { International Journal of Computer Applications },
                        year    = { 2026 },
                        volume  = { 187 },
                        number  = { 73 },
                        pages   = { 42-47 },
                        doi     = { 10.5120/ijca2026926234 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2026
                        %A Irina Bolodurina
                        %A Rustam Rakhmatullin
                        %A Eugenij Speshilov
                        %A Petr Boldyrev
                        %T Providing Information Support for Decision-making in Agricultural Production Through Implementation of Cross-platform Technologies%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 73
                        %P 42-47
                        %R 10.5120/ijca2026926234
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The development and implementation of platform service to provide the information support, that helps the agricultural producers to make decisions, are very important issues when forming the digital space in the Russian Federation within the framework of two projects «Digital Economy» (federal) and «Digital Agriculture» (ministerial). However, the development is fragmented and it requires much time to find them, and the commercial issue and high level of uncertainty regarding their quality increase the material risks for consumers. The research methods are system analysis, logical approach and synthesis, algorithmization, etc. The study under discussion proposes agricultural producers the development of a digital service «Agro-Exchange» to search software and innovative solutions (including digital technologies, services, raw materials, fertilizers, nanomaterials, etc.) in the information environment. The service offers the programme that is able to filter the information relying on requests (by specially organized search data structuring on agricultural production subsystems, which supports the implementation of step-by-step clarification of information). The composition of architectural components and the structure of the demo version of the digital service «Agro-Exchange» are presented together with the resource structuring on sub-platforms. An economic assessment of the project was carried out.

References
  • Bashilov, A. M., Korolev, V. A. 2023. From hierarchical management of an agricultural enterprise to a group network-centric one. Bull. of NGIEI. 8, 147, 74-85. Available at https://doi.org/10.24412/2227-9407-2023-8-74-85
  • Panova, A. V. 2020 Agriculture 4.0: Problems and Prospects. Intern. Res. J. 7-3(97), 160-164. Available at https://doi.org/10.23670/IRJ.2020.97.7.100
  • Peshkova, G. Yu., Fedorov, K. F. 2022. Current trends and problems of agro industrial complex digitalization. Intern. Res. J. 4-4 (118), 150-153. Available at https://doi.org/10.23670/IRJ.2022.118.4.139
  • Pechlivani, E. M., Gkogkos, G., Giakoumoglou, N. et al. 2023. Towards Sustainable Farming: A Robust Decision Support System’s Architecture for Agriculture 4.0. 24th International Conference on Digital Signal Processing (DSP). Rhodes, Greece, 1-5. Available at https://doi.org/10.1109/DSP58604.2023.10167922
  • Fedotova, G. V, Slozhenkina, M. I., Mitrofanova, I. V. et al. 2021 Artificial intelligence as an innovative vector of regional agro industrial complex management. Reg. Econ. South of Russia. 9, 1, 152-162. Available at https://doi.org/10.15688/re.volsu.2021.1.13
  • Nagoev, Z. V., Shuganov, V. M., Bzhikhatlov, K. Ch. et al., 2021. Prospects for increasing the productivity and efficiency of agricultural production using an intelligent integrated environment. Bull. of the Kab.-Balkar. Sci. Cen. of the Rus. Aca. of Sci. 6 (104), 155-165. Available at https://doi.org/10.35330/1991-6639-2021-6-104-155-165.
  • Timakova, R. T., Ilyukhin, R. V. 2023. Digital technologies: new approaches to traceability of grain flows in Russia. Digital models and solutions. 2, 2. Available at http://dx.doi.org/10.29141/2782-4934-2023-2-2-6
  • Tokarev, K. E., Rudenko, A. Yu., Kuzmin, V. A., Chernyavsky, A. N. 2021. Theory and digital technologies of intelligent decision support for increasing the bioproductivity of agroecosystems based on neural network models. News of the Lower Volga Agrarian University Complex: Science and Higher Professional Education. 4 (64), 421-440. Available at https://doi.org/10.32786/2071-9485-2021-04-42
  • Provost, F., Fawcett, T. 2013. Data science and its relationship to Big Data and data-driven decision making. Big Data. 51-59. Available at https://doi.org/10.1089/big.2013.1508
  • Katzenbach, C. 2019. Defining concepts of the digital society. Internet Policy Review. 8, 1-6. Available at https://doi.org/10.14763/2019.4.1430
  • Anselin, L., Gallo, J. L, Jayet, H. 2008. Spatial panel econometrics. The econometrics of panel data. Series: Advanced Studies in Theoretical and Applied Econometrics (Chapter 19). 46, 625-660. Available at http://dx.doi.org/10.1007/978-3-540-75892-1_19
  • Parker, G. G., Alstyne Marshall, W. V., Choudary, S. P. 2016. Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You. Business, Economics, Computer Science, 256. Available at http://dx.doi.org/10.33077/uw.24511617.ms.2017.68.418
  • Vasilenko, N. V., Babkin, A. V., Grigorieva, E. A. et al. 2023. Intelligent platform economy: development trends: monograph. SPb.: POLYTECH-PRESS, 547. Available at https://doi.org/10.18720/IEP/2023.2
  • Danelyan, T. Ya. 2015. Formal methods of expert assessments. Statistics and Economics. 1, 183-187. Available at https://doi.org/10.21686/2500-3925-2015-1-183-187
  • Bogach, E. V., Rakhmatullin, R. R., Speshilov, E. A. 2025. Web service «Agro-Exchange». Certificate of state registration of computer program 2025615053, Rospatent 02/28/2025.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Systems Approach Analysis Digital Transformation Support For Management Decision-making Cross-platform Agricultural Production Resources Nanomaterials Information Data Technology Tools Digital Service

Powered by PhDFocusTM