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Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

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Method of Identification of the Disease of Bee Colonies with Varroatosis Using Associative-Ontological Analysis by the Infological System of Information and Analytical Management of Beekeeping Farms

https://doi.org/10.21869/2223-1536-2021-11-4-180-195

Abstract

The purpose of research is to analyze and propose a method for synthesizing an infological system in the tasks of information and analytical support of beekeeping activities, in terms of identifying the disease of bee colonies with varroatosis using unstructured data obtained from geographically distributed beekeeping farms.

Methods. When conducting research and developing a method for identifying the disease of bee colonies with varaosis, methods of theories were used: algorithms, probabilities and mathematical statistics, calculations, graphs.

Results. Methods of identification of bee colonies affected by varroatosis, as well as ways to assess the degree of infection are considered. During the analysis, it was revealed that the existing methods have disadvantages: there is no systematic physically heterogeneous identification of the disease; different methods of assessing the degree of infection give an error of up to 48%; there is no assessment of the disease with the use of technical vision in the visible and infrared ranges. Taking into account the shortcomings obtained during the critical analysis, a logical model of the infological system is proposed, which allows analyzing unstructured physically heterogeneous data depending on the type of request by an expert. The most effective algorithms for processing acoustic signals and images in the visible range are presented, and an algorithm for processing data at the associative-ontological level of the infological model is proposed in order to develop the most optimal solution about the degree of infection.

Conclusion. The method of identifying the disease of bee colonies with varroatosis, put into the infological system of information and analytical management of beekeeping farms, allows you to generate data on the state of colonies of highly organized insects in the region, the country for departmental institutions for the control and prevention of viral and infectious diseases, as well as for peasant (farm) farms. The results of processing by the infological system can later be used to form the control effects on the means of biological treatment.

About the Authors

I. G. Babanin
Southwest State University
Russian Federation

Ivan G. Babanin, Cand. of Sci. (Engineering), Associate Professor of the Department of Space Instrumentation and Communication Systems

50 let Oktyabrya str. 94, Kursk 305040



A. E. Sevryukov
Southwest State University
Russian Federation

Aleksandr E. Sevryukov, Associate Professor of the Department of Space Instrumentation and Communication Systems 

50 let Oktyabrya str. 94, Kursk 305040



A. V. Khmelevskaya
Southwest State University
Russian Federation

Alena V. Khmelevskaya, Senior Lecture of the Department of Space Instrumentation and Communication Systems

50 let Oktyabrya str. 94, Kursk 305040



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Babanin I.G., Sevryukov A.E., Khmelevskaya A.V. Method of Identification of the Disease of Bee Colonies with Varroatosis Using Associative-Ontological Analysis by the Infological System of Information and Analytical Management of Beekeeping Farms. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2021;11(4):180-195. (In Russ.) https://doi.org/10.21869/2223-1536-2021-11-4-180-195

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