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 …

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 …

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

In animal agriculture, deep learning-based approaches have been widely implemented as a
decision support tool for precision farming. Several deep learning models have been …

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

Cattle's individual identification plays a crucial role in effectively managing large farms. To
enhance agricultural efficiency, promote the digital transformation of animal husbandry, and …

Livestock health and welfare monitoring is a tedious and labour-intensive task previously
performed manually by humans. However, with recent technological advancements, the …

Identifying individual animals is crucial for many biological investigations. In response to
some of the limitations of current identification methods, new automated computer vision …

Climate change related global warming is likely to continue, despite all mitigation measures
taken by humans, due to the lag effect of long-term anthropogenic activities. Warming of the …

Cow tail detection and tracking in videos provide valuable information for individual
identification, calving process, behavior analysis, and body condition monitoring. Although …