Development of Smart Space Architecture for Dairy Farming Management

The paper proposes an approach to implementing an intelligent video monitoring system for the animals' health and physiological status in terms of developing a smart space architecture aimed at monitoring the animals' keeping and its subsystems for animals’ video surveillance (their identification and localization) and preprocessing of video data. Three versions for implementing the video surveillance subsystem are proposed, which can be used depending on the construction, architectural and organizational features of the farm, the number of observed animals, the potential cost of the equipment, and the possibility of integrating the developed system into the farm’s existing infrastructure. Specifics of a seamless video space forming in the video data preprocessing subsystem are considered. To solve the problem of continuous localization and identification of animals in smart space, two options for implementing a subsystem of an object active in case of tracking errors are proposed. The implementation of the project of an intelligent video monitoring system for the health and physiological status of animals allows for earlier diagnosis of the most common diseases. The use of digital systems ensuring the early diagnosis of cow diseases will reduce the costs and treatment time of cows, as well as the volume of rejected milk during the treatment period, and the proportion of young highly productive animals discarded because of the diseases.