Statistical bayesian algorithm for processing thermographic images of the cow udder for diagnosing mastitis
https://doi.org/10.21122/2309-4923-2023-1-42-46
Abstract
The article presents results of our experiments carried out to study the invariance of the digital description of the imageThere in the paper is formulated a mathematical problem of multi-hypothetical detection of subclinical and clinical mastitis in dairy cows by the maximum values of udder temperature measured by digital processing of the udder thermal images. The optimal temperature threshold values corresponding to the Bayesian criterion of the minimum average risk in the above multi-hypothesis detection problem are determined by numerical modelling.
About the Authors
I. I. Hirutsky
Belarusian State Agrarian Technical University
Belarus
Minsk
Belarus
Minsk
A. G. Senkov
Radio Engineering Center of the National Academy of Sciences of Belarus
Belarus
Belarus
Senkov Andrey, G. - Ph.d., associate professor, head of the department of mathematical modeling”.
Minsk
Y. A. Rakevich
Scientific and Practical Center of the National Academy of Sciences of Belarus for Agricultural Mechanization
Belarus
Belarus
Rakevich Yury Aleksandrovich - Master of Technical Sciences, researcher in the laboratory “Scientific support of testing and information and technical technologies”.
Minsk
References
1. Luchko, I.T. Inflammation of the mammary gland in cows (etiology, pathogenesis, diagnosis, treatment and prevention): monograph / I.T. Luchko. – Grodno: Grodno State Agrarian University, 2019. – 184 p. – ISBN 978-985-537-141-1.
2. Organizational and technological requirements for the production of milk at industrial-type dairy complexes (Approved by the Resolution of the Board of the Ministry of Agriculture and Food of the Republic of Belarus of June 4, 2018, No. 16) [Electronic resource]. Access mode: https://mshp.gov.by/ documents/animal/trebovaniya_moloko.pdf, free. – lang. rus.
3. Kolchin, A.F. Prospects for the use of infrared thermography in the study of the mammary gland of cows / A.F. Kolchina, A.K. Lipchinskaya // Agrarian Bulletin of the Urals. – 2010. – № 9(75)6. – Рр. 94-97.
4. Rodríguez C., Matamoros A., Valilla J. Application of the thermography study of big ruminants udder and its possible pathological complications // RCCV. ‒ Vol. 2(2). ‒ 2008. ‒ Pр. 66-72.
5. Girutsky, I.I. Analysis of the infrared image of the udder of cows / I.I. Girutsky, V.I. Perednya, Yu.A. Rakevich // Agropanorama. – 2018. – № 6. – Рр. 9-12.
6. Rakevich, Yu.A. Using infrared thermography to detect mastitis in cows / Yu.A. Rakevich // Agropanorama. – 2020. – № 5. – Рр. 19-22.
7. Hirutski, I.I. Selection of the information parameter for the thermography method of diagnostics of dairy cows mastitis / I.I. Hirutski, Y.A. Rakevich, A.G. Senkov // International scientific journal «Mechanization in agriculture & conserving of the resources: Bulgaria, 2021 – Рр. 14-18.
8. Van Tries G. Theory of detection, estimates and modulation. Vol. III. Processing of signals in radio and sonar and reception of random Gaussian signals against the background of noise. New York, 1971. Translate from English. Ed. prof. V.T. Goryainov. M., “Soviet radio”, 1977, 664 p.
9. Orlov A.I. Expert assessments. Tutorial. – M.: 2002. – 31 p.
10. Bogush, A.A. Morbidity of cows with mastitis on livestock farms / A.A. Bogush, V.I. Ivanov, V.G. Golynets // Veterinary Medicine of Belarus. – 2001. – № 1. – Pр. 41-42.
11. Bogush, A.A. Mastitis / A.A. Bogush, V.I. Ivanov // Veterinary newspaper. – 2000. – № 19. – P. 3.
12. Novikov, O.G. Rational methods of using Diofur for the treatment of cows with mastitis: Abstract of the thesis. dis. …cand. vet. Sciences: 16.00.07 / O.G. Novikov; All-Russian Research Institute of Pathology, Pharmacology and Therapy. – Voronezh, 1996. – 20 p.
Review
For citations:
Hirutsky I.I., Senkov A.G., Rakevich Y.A. Statistical bayesian algorithm for processing thermographic images of the cow udder for diagnosing mastitis. «System analysis and applied information science». 2023;(1):42-46. (In Russ.) https://doi.org/10.21122/2309-4923-2023-1-42-46
Views:
1975
Email this article 