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

Cow behavior recognition systems support the assessment of cows' condition by providing
their behavior information. Accelerometers are particularly suited for a non-invasive solution …

Understanding the herd structure of housed dairy cows has the potential to reveal
preferential interactions, detect changes in behavior indicative of illness, and optimize farm …

Global Positioning Systems (GPSs) can collect tracking data to remotely monitor livestock
well-being and pasture use. Supervised machine learning requires behavioral observations …

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 …

To improve the revenue of dairy farms, cow estrus must be accurately monitored to track
mating time. Narrow Band Internet of Things (NB-IoT) is considered as a promising …

By analyzing large amounts of animal behavior data, humans can assess cattle's condition.
It leads to research and development a field using accelerometers and machine learning …

Currently, precision dairy-monitoring technologies (PDMT) are gaining interest. These
systems allow to monitor cow health, the time for insemination, and the birthing process …

This paper presents a novel deep learning based computer vision technique for
automatically monitoring the heat in cows by detecting the heat detector device such as …

Sažetak The identification of cows and heifers in heat and their timely artificial insemination
(AI) is an important issue for large dairy units. The objective of the research was to study the …