Копішинська, Олена ПетрівнаУткін, Юрій ВікторовичСлюсарь, Ігор ІвановичГалич, Олександр АнатолійовичКовпак Сергій АнатолійовичЛяшенко, Віктор ВасильовичБараболя, Ольга ВалеріївнаKopishynska, O.Utkin, Y.Sliusar, I.Galych, O.Kovpak, S.Liashenko, V.Barabolia, O.2026-01-042026-01-042024Kopishynska, O., Utkin, Y., Sliusar, I., Galych, O., Kovpak, S., Liashenko, V., Barabolia, O. (2024). Comprehensive Management of Agroecosystem Productivity on the Platform of Specialized Farm Management Information Systems. In N. Callaos, E. Gaile-Sarkane, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 28th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2024, pp. 340-347. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2024.01.340.DOI: 10.54808/WMSCI2024.01.340https://dspace.pdau.edu.ua/handle/123456789/19932Kopishynska, O., Utkin, Y., Sliusar, I., Galych, O., Kovpak, S., Liashenko, V., Barabolia, O. (2024). Comprehensive Management of Agroecosystem Productivity on the Platform of Specialized Farm Management Information Systems. In N. Callaos, E. Gaile-Sarkane, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 28th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2024, pp. 340-347. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2024.01.340.The paper examines the methodological aspects of a comprehensive approach to effective management of crop production agrocenoses and resource utilization on the platform of specialized farm management information systems (FMIS). The conceptual advantages and technological foundations of precision agriculture in the context of the formation of Agriculture 4.0 are analyzed, highlighting the significance of progress in the autonomy of agricultural production at various levels of physical and digital technologies. Based on the experience of modern agricultural enterprises in Ukraine, the capabilities of well-known agroprocess management systems, such as Cropio and Soft.Farm, are analyzed. The ways to improve the algorithms and architecture of FMIS software complexes for effective management of interactions between factors in agrocenoses are demonstrated. Prospective directions include mathematical and scenario-based methods for modeling climatic indicators and crop yields.enFMISAgroecosystemAgriculture 4.0precision agricultureyield predictionagrocenoses modelingArticle