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Asian Journal of Animal and Veterinary Advances

Year: 2022 | Volume: 17 | Issue: 2 | Page No.: 61-67
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Authors

Bounefla Med. Ali

Bounefla Alia

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Research Article

Intelligent Optimization of Cow Milk Health Control

Bounefla Med. Ali and Bounefla Alia
Background and Objective: From the physicochemical point of view, milk is an emulsion of fat in a colloidal solution of proteins. Sanitary standards are established to preserve sanitary quality. This relates to the pH and density, depending on its chemical and biological composition. However, the established limits were characterized by their rigidity while the system is very complex. Several factors are in combined interactions (the breed and age of the cow, as well as the season and the diet). This study aims to the Physico-chemical parameters of milk according to the extrinsic influences. Materials and Methods: As the system is very complex to analyze using classical mathematical techniques, an intelligent system was applied. A fuzzy inference system was established. The factors that alter its properties were considered as input variables to the system. The output variable expressed the quality of the milk. A database was established. The rule base connected the inputs to the output of the (IF…THEN) form. Results: By considering the fuzzy variables, makes it possible to compensate for the uncertainties linked to the nature of the system. The result obtained by introducing variables randomly at the input of the system is the most precise possible. It is obtained by the aggregation of all the rules. Conclusion: When the system is completed, this will allow random variables to be assigned to the input to automatically read the corresponding milk quality and therefore make the appropriate decision. As fuzzy logic deals with the uncertain and imprecise, its application in this analysis is adequate.
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