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Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption RoadmapDOI: 10.3390/ani11092665 Subject Areas: Chemical Engineering & Technology, Biodiversity, Agricultural Engineering, Communication Protocols, Environmental Sciences, Technology And Innovation, Biological Engineering, Biological Materials, Information Science, Automata, Veterinary Medicine, Machine Learning, Economics, Logistics Engineering, Information retrieval, Computer Vision, Distributed computing, Technology, Agricultural Science, Zoology, Industrial Engineering, Mobile and Portable Communications Systems, Animal Behavior, Big Data Search and Mining, Electric Engineering, Image Processing, Entrepreneurship, Information Management, Consumer Behavior, Computer Engineering, Mobile and Ubiquitous Networks, Statistics, Software Engineering, Information Technologies, Bioengineering, Public Health, Mobile Computing Systems, Food Science & Technology, Artificial Intelligence, Applications of Communication Systems, Cloud Computing 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, e8731. doi: http://dx.doi.org/10.3390/ani11092665.
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