The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Precision livestock farming (PLF) has spread to various countries worldwide since its
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …

The increasing demand for sustainable livestock products also demands new
considerations in animal breeding. Breeding programs are now seeking to integrate animal …

Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …

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

Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

The evolution of agriculture towards intensive farming leads to an increasing demand for
animal identification associated with high traceability, driven by the need for quality control …

The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

For commercial broiler production, about 20,000–30,000 birds are raised in each confined
house, which has caused growing public concerns on animal welfare. Currently, daily …