ANALYSIS OF BIOMETRIC CATTLE IDENTIFICATION METHODS BASED ON MUZZLE IMAGE ANALYSIS

In the 21st century, the rapid development of digital technologies and artificial intelligence systems has brought identification and monitoring issues in the livestock sector to a new level. Traditional methods that have been used so far include ear tags, microchips, tattoos, and radio-frequency identification (RFID) devices. However, these methods have a number of limitations, such as the possibility of causing harm to animals, the loss of identification marks, or their falsification. Therefore, in recent years, the global scientific community has paid increasing attention to the development of identification methods based on the biometric characteristics of cattle.