DEVELOPMENT OF AN EXPANDED STRUCTURE FOR MANAGING INFORMATION FLOWS IN SMART LIVESTOCK FARMS

Today, the construction of diagnostic models based on the theory of fuzzy logic algorithms and neutrosophic fuzzy sets, the classification of poorly formed processes is a developing direction. However, the diagnosis and analysis of the causes of the spread of animal disease with the introduction of modern information technologies require further improvement. The developed algorithms and software allow to increase the economic efficiency of diagnosis and prognosis of the disease based on the statistical data of the regional department of veterinary medicine and livestock development. Keywords: in smart livestock farms, algorithm, fuzzy set theory, IDEF0 process.