For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …

Simple Summary Horses' behavior is a good indicator of their welfare status. However, its
complexity requires objective, quantifiable, and unambiguous evidence-based assessment …

Due to technological developments, wearable sensors for monitoring the behavior of farm
animals have become cheaper, have a longer lifespan and are more accessible for small …

Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human …

In recent years, numerous high accuracy methods have been developed for classifying
activities using multi inertial sensors. Despite their reliability and precision, they suffer from …

Simple Summary Traditionally, farmers are unable to pay enough attention to individual
livestock. An increasing number of sensors are being used to monitor animal behavior, early …

Background Animal-borne sensors ('bio-loggers') can record a suite of kinematic and
environmental data, which are used to elucidate animal ecophysiology and improve …

Automated behavioral detection and classification through sensors can enhance the horses'
health and welfare. Since monitoring needs to be carried out continuously, an energy …

Numerous bibliographic reviews related to the use of AI for the behavioral detection of farm
animals exist, but they only focus on a particular type of animal. We believe that some …