BOVINE BRONCHOPNEUMONIA AND ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE VETERINARY DATA ANALYSIS STUDY

Авторы

  • Gurbanova Nailya Senior Lecturer, Azerbaijan State Agricultural University, Ganja, Azerbaijan Автор
  • Mehtiyev Agil Gazanfar Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор
  • Babayeva Turkan Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор
  • Meyfaliyeva Aynur Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор

DOI:

https://doi.org/10.65164/hbcefs68

Аннотация

Bovine bronchopneumonia is one of the most prevalent respiratory diseases in cattle,
particularly in intensive dairy farming systems. It causes significant economic losses due to decreased
milk production, treatment costs, and mortality. Early detection remains challenging due to nonspecific
initial clinical signs. This study presents a comprehensive comparative analysis of
physiological parameters in healthy and affected dairy cattle and explores the potential role of
Artificial Intelligence in supporting early detection and decision-making processes in veterinary
medicine.

Библиографические ссылки

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Опубликован

2026-04-14