Academy & Industry Research Collaboration Center (AIRCC)

Volume 11, Number 02, February 2021

Intelligent System for Solving Problems of Veterinary Medicine on the Example of Dairy Farms

  Authors

Shopagulov Olzhas, Tretyakov Igor and Ismailova Aisulu, Kazakh Agro Technical University, Kazakhstan

  Abstract

This article describes an automated expert system developed to diagnose cow diseases and assist veterinarians in treatment. We set before a diagnostic method based on the analysis of observed symptoms and experience of veterinarians. The system represents a web interface for maintaining a database of diseases, their symptoms and treatment methods, as well as a smartphone application for the diagnostics in offline mode. The developed intelligent system will allow agricultural producers to make specific decisions based on automated data analysis. Also presented in the article the information on the developed expert system, and the results of tests and testing during its use. The economic efficiency and importance of the work is determined by the possibility of automated recording of data on the livestock of animals, zoo technical and veterinary operations.

  Keywords

Intelligent system, diagnosis of diseases, application evaluation, milk yield, herd management.