This paper presents a remote monitoring tool for the objective measurement of behavioral indicators that can help in assessing the health and welfare of pigs in precision swine production. The multiparameter electronic sensor board can measure posture, gait, vocalization, and external temperature, and has been characterized through laboratory measurements and animal tests. Machine learning algorithms and decision support tools can be implemented to detect animal lameness, lethargy, pain, injury, and distress. The adoption of this technology could lead to more efficient management of farm animals, better targeting of sick animals, lower medical costs, and fewer antibiotics being used. Challenges and a road map for technology adoption are discussed, along with suggestions for future improvements.
https://doi.org/10.3390/ani11092665
Pandey, S. (2023). Pig Sensing Electronic Ear Tags. Afribary. Retrieved from https://track.afribary.com/works/pig-sensing-electronic-ear-tags
Pandey, Santosh "Pig Sensing Electronic Ear Tags" Afribary. Afribary, 18 Feb. 2023, https://track.afribary.com/works/pig-sensing-electronic-ear-tags. Accessed 23 Nov. 2024.
Pandey, Santosh . "Pig Sensing Electronic Ear Tags". Afribary, Afribary, 18 Feb. 2023. Web. 23 Nov. 2024. < https://track.afribary.com/works/pig-sensing-electronic-ear-tags >.
Pandey, Santosh . "Pig Sensing Electronic Ear Tags" Afribary (2023). Accessed November 23, 2024. https://track.afribary.com/works/pig-sensing-electronic-ear-tags