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