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Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption RoadmapDOI: 10.3390/ani11092665 Subject Areas: Bioengineering, Economics, Machine Learning, Electric Engineering, Automata, Entrepreneurship, Communication Protocols, Information Science, Applications of Communication Systems, Information retrieval, Biological Engineering, Information Technologies, Computer Vision, Computer Engineering, Mobile and Portable Communications Systems, Veterinary Medicine, Animal Behavior, Information Management, Software Engineering, Logistics Engineering, Public Health, Zoology, Mobile Computing Systems, Consumer Behavior, Statistics, Food Science & Technology, Image Processing, Cloud Computing, Mobile and Ubiquitous Networks, Distributed computing, Technology, Agricultural Engineering, Biological Materials, Industrial Engineering, Chemical Engineering & Technology, Biodiversity, Artificial Intelligence, Environmental Sciences, Agricultural Science, Technology And Innovation, Big Data Search and Mining Keywords: animal behavior, electronic, farmer, precision livestock farming, sensor, swine, ASIC, behavior monitoring, bluetooth, ear tag sensor, machine intelligence, memory, microcontroller, remote monitor, precision pig farming, technology adoption, wireless Abstract Precision swine production can benefit from autonomous, noninvasive, and affordable devices that conduct frequent checks on the well-being status of pigs. Here, we present a remote monitoring tool for the objective measurement of some behavioral indicators that may help in assessing the health and welfare status—namely, posture, gait, vocalization, and external temperature. The multiparameter electronic sensor board is characterized by laboratory measurements and by animal tests. Relevant behavioral health indicators are discussed for implementing machine learning algorithms and decision support tools to detect animal lameness, lethargy, pain, injury, and distress. The roadmap for technology adoption is also discussed, along with challenges and the path forward. The presented technology can potentially lead to efficient management of farm animals, targeted focus on sick animals, medical cost savings, and less use of antibiotics. Pandey, S. , Kalwa, U. , Kong, T. , Guo, B. , Gauger, P. C. , Peters, D. and Yoon, K. (2021). Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap. Animals, e08731. doi: http://dx.doi.org/10.3390/ani11092665.
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