The aim of the bachelor thesis was to research and present methods for assessing the emotional states of farm animals (cattle, pigs and laying hens). It is assumed that animals can feel a wide range of emotions, although perhaps not in the same way as humans. With development and the better understanding of the world that comes with it, the concept of animal welfare and the ability to experience positive emotional states is becoming more prominent. This includes better production capacity and efficiency, higher quality products, health, reproduction, animal longevity and the relationship between humans and animals. The term ''emotion'' is defined and viewed differently in the various branches of science. Since animals cannot communicate verbally, emotions cannot be measured directly, but rather through subjective, behavioral, cognitive and neurophysiological components. In researching the behavioral component, we can use microphones, video and thermal cameras, images and recordings to study animals' vocalizations, facial expressions and facial muscle contractions using facial recognition software. The non-invasive methods are called Animal facial acting coding system, Facial coding platform for measuring emotions in farm animals and the grimace scale, which can be used to indicate the degree and severity of pain experienced by the animal. It is known that animals in negative emotional states of high arousal and stress grimace more and react with higher tones and more frequently than in low arousal and positive states of high arousal. In cattle and pigs, observing the position of the tail and ears is very helpful, while in laying hens we observe the degree of redness on the bare skin of the head, measure the temperature of the peripheral areas around eyes and the frequency of blinking.
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