Publications

The advancement of technology has significantly transformed the livestock landscape, particularly in the management of dairy cattle, through the incorporation of digital and precision approaches. This study presents a bibliometric analysis focused on these technologies involving dairy farming to explore and map the extent of research in the scientific literature. Through this review, it was possible to investigate academic production related to ...

A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 187 English-language articles with experimental data from the Scopus and Web of Science databases (January 1987 to April 2024) were reviewed. Publications notably increased ...

Understanding the emotional states of animals is a long-standing research endeavour that has clear applications in animal welfare. Vocalisations are emerging as a promising way to assess both positive and negative emotional states. However, the vocal expression of emotions in birds is a relatively unexplored research area. The goal of this study was to develop an interactive feeding system that would elicit positive and negative emotional ...

Tracking the behaviour of animals in group-housed situations is a critical area of study for precision livestock farming, but it poses challenges in diverse and crowded environments. Existing methods often struggle with false positives and false negatives due to the complexities of these scenarios. In this study, we propose a robust computer vision algorithm for long-term (>10mins) animal tracking, with a primary focus on group-housed pigs. ...

motivation for nest-building. This behavior includes actions such as rooting, pawing, and foraging. Automatic recognition of these specific actions can be beneficial for identifying this nesting behavior and assessing a sow’s maternal ability, as well as predicting the approach of the delivery time. In this study, an automatic method for rooting action recognition was developed for prepartum sow in opened movable crate farrowing pen using ...