Machine Learning Methods for Analyzing the Productivity of Dairy Farms

This graduation work contains information on the topic "Machine learning methods for analyzing the productivity of dairy farms." The final work consists of 40 pages, and it contains 3 figures, 2 tables, 32 references. Graduation work consists of an introduction, two chapters, and a conclusion. In the introduction, the relevance of the chosen topic is revealed; the goal and objectives of the study are set, the object and subject of the study are highlighted. The first chapter reflects the theoretical foundations of factors affecting agriculture. It defines the production model that is most suitable for dairy farms, describes an algorithm that simulates reproductive function. The second chapter implements a model showing the effect of increased milk yield on the reproductive function of dairy cows and technical inefficiency on production volume. The conclusion contains the main conclusions and suggestions aimed at improving the efficiency of dairy farms.