Some scientific researches have been conducted recently based on Artificial Intelligence
(AI) to solve animal welfare and health related problems. However, no review study was …

This article presents a systematic literature review of recent works on the use of machine
learning (ML) in precision livestock farming (PLF), focusing on two areas of interest: grazing …

Machine learning applications are becoming more ubiquitous in dairy farming decision
support applications in areas such as feeding, animal husbandry, healthcare, animal …

Livestock feeding behaviour is an influential research area in animal husbandry and
agriculture. In recent years, there has been a growing interest in automated systems for …

It is very significant to monitor livestock foraging behavior accurately and in real-time to
further improve pasture management and livestock welfare. Although various algorithms …

Broilers produce abnormal sounds such as cough and snore when they suffer from
respiratory diseases. The aim of this research work was to develop a method for broiler …

The growth of the world population expected for the next decade will increase the demand
for products derived from cattle (ie, milk and meat). In this sense, precision livestock farming …

Monitoring livestock feeding behavior may help assess animal welfare and nutritional status,
and to optimize pasture management. The need for continuous and sustained monitoring …

The use of an accelerometer is considered as a promising method for the automatic
measurement of the feeding behavior or feed intake of cattle, with great significance in …

Determining ingestive behaviors of dairy cows is critical to evaluate their productivity and
health status. The objectives of this research were to (1) develop the relationship between …