There has been an increasing demand for animal protein due to several factors such as
global population growth, rising incomes, etc. However, farming productivity is stagnating …

In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …

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 …

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

In this paper, we demonstrate that computer vision pipelines utilising deep neural
architectures are well-suited to perform automated Holstein Friesian cattle detection as well …

Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns
visually akin to those arising from Turing's reaction-diffusion systems. This work takes …

In this paper, we present WildlifeDatasets-an open-source toolkit intended primarily for
ecologists and computer-vision/machine-learning researchers. The WildlifeDatasets is …

Cow identification is a prerequisite for precision livestock farming. Biometric-based methods
have made significant progress in cow identification. However, substantial labelling costs …

With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …

Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning
of Mixed Breed Cattle Next Article in Journal Isolation and Identification of Antibacterial and …