Scientific Bulletin of the Odesa National Economic University 2025,3, 14-21

Open Access Article

Diagnostics and strategic design of agricultural entrepreneurship development under martial law

Shevchenko Alisa
PhD in Economics, Associate Professor of the Department of Economic Theory and Economics of Enterprises, Odesa State Agrarian University, Odesa, Ukraine, E-mail:Alisochka1978@gmail.com, ORCID: https://orcid.org/0000-0002-3581-7884

Petrenko Olga
PhD in Economics, Associate Professor of the Department of Economic Theory and Economics of Enterprises, Odesa State Agrarian University, Odesa, Ukraine, E-mail:leka_m@ukr.net, ORCID: https://orcid.org/0000-0001-9722-3785

Solomonova Victoria
a student of the first (bachelor's) level of higher education of the Faculty of Economics and Management, Odesa State Agrarian University, Odesa, Ukraine, E-mail:solomonovaviktoria05@gmail.com, ORCID: Full text PDF

Cite this article:

Shevchenko A., Petrenko O., Solomonova V. (2025) Diagnostics and strategic design of agricultural entrepreneurship development under martial law. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Diagnostyka ta strategichne proektuvannja rozvytku agrarnogo pidpryjemnyctva v umovah vojennogo stanu; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 3 (328), pp.14-21.

Abstract

The purpose of the study is to form a mechanism for designing agricultural entrepreneurship using artificial intelligence in livestock farming. The study used the method of comparative analysis, the method of expert assessment and the method of planning. The importance of designing the development of agricultural entrepreneurship under martial law is outlined. The taxonomy of artificial intelligence, studied by the High-Level Expert Group on AI, is presented. An analysis of the risks of using AI in business structures and a justification of the feasibility of further implementation in agricultural entrepreneurship are carried out. Among the risks that hinder the implementation of AI in agricultural production, the following are highlighted: high initial investments, technical difficulties, risks of errors and failures, insufficient level of personnel training, unpreparedness for the movement to the "new". The issue of the possibilities of using artificial intelligence as a tool for reducing costs at enterprises is investigated. It has been proven that big data analytics and AI machine learning algorithms allow you to optimize production processes, reducing the impact of the human factor and minimizing costs. In animal husbandry, these technologies contribute to improving herd management, monitoring animal health and predicting possible risks. Farmers get the opportunity to track individual indicators of each animal in real time, which allows you to prevent diseases, regulate the diet and improve product quality. Such innovations contribute to reducing costs, increasing profitability and optimizing all aspects of agricultural production. The authors present a step-by-step mechanism for designing the development of agricultural entrepreneurship in the field of animal husbandry using artificial intelligence (AI). This mechanism is a comprehensive approach to the use of AI in agricultural entrepreneurship, which allows you to increase production efficiency, reduce costs and improve product quality.

Keywords

diagnostics, agricultural entrepreneurship, artificial intelligence, risks, opportunities, design mechanism.

JEL classification:Q100; L260; O210; H560;DOI: https://doi.org/10.32680/2409-9260-2025-3-328-14-21

UD classification:631:338.43:658.1(477)

Лицензия Creative Commons
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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