The research relevance is determined by the need to create a strategy for the development of innovative entrepreneurial structures in livestock farming, the application of which can significantly increase the economic return on farms. The study aims to develop a strategy for the development of progressive livestock farms. The following general scientific methods were used for the study: analysis, synthesis, deduction, induction, and generalisation. Among the innovations considered were various genetic studies to improve the animal genome (the amount of meat and milk, the efficiency of feed assimilation), as well as the selection of genetically healthy embryos for breeding; the use of modern technologies in livestock farming, such as Radio Frequency Identification, Augmented Reality, Convolutional Neural Networks and Global Positioning System; technologies aimed at automating animal feeding processes. Particular attention was paid to various livestock monitoring systems created using advanced algorithms. A strategy for the development of innovative livestock farms was also presented, with drones, CCTV cameras, mixed reality glasses and scanner gloves as the main elements. Other necessary elements included a drone control module and software. Relevant calculations to prove the feasibility of implementing this strategy and its financial potential were also carried out. Provided that 82 units of various equipment are used, with a total cost of 187, 970, the strategy provides for a profit of 1, 072, 030, with a 3-year implementation period and a payback period of less than 6 months. The practical significance of the information obtained is that it can be considered by researchers to further study the specifics of implementing innovative projects in livestock production, as well as to further develop various strategies for agricultural modernisation in Kazakhstan
Мухамедханова et al. (Thu,) studied this question.