|Autors: Rizanov, S. M., Yakimov, P. I.|
Title: Cattle Disease Detecting IoT Thermographic System
Keywords: Artificial intelligence, cattle disease detection, cloud computing, IoT, thermography
Abstract: The food industry is facing enormous challenges in order to ensure sufficient amounts of food for the expanding population, while meeting and fulfilling rapidly changing quality demands. With cattle being one of the essential food-supplying animal breeds, imposed are strict requirements towards their wellbeing support and monitoring. Within this work a novel developed IoT based thermographic system for cattle disease detection is presented, which allows scalability and direct farming applicability. Emphasis is additionally pointed towards methods for parasitic effects' cancellation.
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Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus