Cattle behaviour is fundamentally linked to the cows' health,(re) production, and welfare.
The aim of this study was to present an efficient method to incorporate Ultra-Wideband …

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 …

The demand for meat and dairy products is expected to rise significantly in the current
demographic and economic growth context. Concurrently, various factors, including financial …

Cattle behavior classification technology holds a crucial position within the realm of smart
cattle farming. Addressing the requisites of cattle behavior classification in the agricultural …

Simple Summary The early detection of behavioural changes based on variations in dairy
cows' daily routines is of paramount importance to the timely identification of the onset of …

This article explores the novel application of deep learning methods in the analysis of
complex cattle behavior patterns using accelerometer data. With the information provided by …

The detection of activity and behavioral patterns using accelerometers in humans has been
a longstanding research. Progress in this field has been successfully transferred to the study …

Coupled non-linear dynamical systems have gained attention not only as a ubiquitous
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …

The pose of cows reflects their body condition, and the information contained in the skeleton
can provide data support for lameness, estrus, milk yield, and contraction behavior …

Animal welfare is a daily concern for livestock farmers. It is known that the activity of cows
characterizes their general physiological state and deviations from the normal parameters …