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