Increased biosecurity and food safety requirements may increase demand for efficient
traceability and identification systems of livestock in the supply chain. The advanced …

Visual animal biometrics is an emerging research field of computer vision, pattern
recognition, and cognitive science. Recently, cattle recognition has played a significant role …

Cattle identification is crucial to be registered for breeding association, food quality tracing,
disease prevention and control and fake insurance claims. Traditional non-biometrics …

Animal biometrics is a frontier area of computer vision, pattern recognition and cognitive
science to plays the vital role for the registration, unique identification, and verification of …

Monitoring of pet animal in smart city is a big challenge for authorities concerned. The
classical animal identification and monitoring methods fail to provide the required level of …

Visual animal biometrics is an emerging research discipline in computer vision, pattern
recognition and cognitive science. It is a promising research field that encourages new …

Stacked denoising auto-encoder and deep belief network are proposed as methods of deep
learning for cow nose image texture feature extraction, and for learning the extracted …

Artificial intelligence and machine learning have recently been applied to improve
agricultural and livestock applications. The precise estimation, recommendations, and …

Animal biometrics based recognition systems are gradually gaining more proliferation due to
their diversity of application and uses. The recognition system is applied for representation …

The usage of computer vision adds a new paradigm in the field of animal biometric, and has
recently received more attention due to the growing importance of identification and tracking …