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Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap
Animals (2021)
  • Santosh Pandey, Iowa State University
  • Upender Kalwa
  • Kyoung-Jin Yoon, Iowa State University
  • David Peters, IOWA STATE UNIVERSITY LIBRARY
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.
Keywords
  • PLF,
  • precision swine farming,
  • precision livestock farming,
  • swine,
  • pig,
  • electronics,
  • sensors,
  • machien learning,
  • technology adoption,
  • pig farmer,
  • farmer,
  • machine intelligence,
  • ear tag
Publication Date
Fall September 4, 2021
DOI
10.3390/ani11092665
Citation Information
Pandey, Santosh, Upender Kalwa, Taejoon Kong, Baoqing Guo, Phillip C. Gauger, David J. Peters, and Kyoung-Jin Yoon. 2021. "Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap" Animals 11, no. 9: 2665. https://doi.org/10.3390/ani11092665
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.