Abstract. The objective of this study is to improve the quality of agricultural engineering for cattle feed production in Eastern Kazakhstan. Kazakhstan’s agricultural production is considered a high-risk area, and therefore, producer and consumer risks of agricultural products are used as key criteria for agricultural engineering quality. Implementing these tasks in this scientific and production context is particularly challenging due to the insufficient scientific study of the subject area, particularly in terms of regional natural, climatic, and geographic aspects. In modern digital production management systems, proactive monitoring and control are crucial. This study explores a new approach that transforms management into an agricultural engineering system, in which risks are considered as criteria for the digital maturity of the business environment. In livestock farming, feed quality plays a crucial role, and monitoring it is impossible without the use of modern digital solutions at all stages of feed production. To qualitatively evaluate control processes based on digital maturity criteria in both integral and differential formats, this paper proposes a new model based on the principles of fuzzy control agents, which improves the quality of decision-making.

Keywords: agricultural engineering, feed production, risk, digital maturity, control, model.