Invited review: Sensor technologies for real-time monitoring of the rumen environment

Chan Su Han, Upinder Kaur, Huiwen Bai, Barbara Roqueto dos Reis, Robin White, Robert A. Nawrocki, Richard M. Voyles, Min Gyu Kang, Shashank Priya

Research output: Contribution to journalReview articlepeer-review

19 Scopus citations

Abstract

Quantifying digestive and fermentative processes within the rumen environment has been the subject of decades of research; however, our existing research methodologies preclude time-sensitive and spatially explicit investigation of this system. To better understand the temporal and spatial dynamics of the rumen environment, real-time and in situ monitoring of various chemical and physical parameters in the rumen through implantable microsensor technologies is a practical solution. Moreover, such sensors could contribute to the next generation of precision livestock farming, provided sufficient wireless data networking and computing systems are incorporated. In this review, various microsensor technologies applicable to real-time metabolic monitoring for ruminants are introduced, including the detection of parameters for rumen metabolism, such as pH, temperature, histamine concentrations, and volatile fatty acid concentrations. The working mechanisms and requirements of the sensors are summarized with respect to the selected target parameters. Lastly, future challenges and perspectives of this research field are discussed.

Original languageEnglish (US)
Pages (from-to)6379-6404
Number of pages26
JournalJournal of Dairy Science
Volume105
Issue number8
DOIs
StatePublished - Aug 2022

Bibliographical note

Funding Information:
C.S.H. acknowledges support from NIFA (USDA, Washington, DC) through award number 2019-67021-28991. M.G.K. and S.P. acknowledge support through the NSF-USDA award number 2018-67007-28452. R.W. acknowledges support through the NSF CPS program. U.K., H.B., R.A.N., and R.M.V. acknowledge support through grant nos. 2018-67007-28439 and 2019-67021-28990. The authors have not stated any other conflicts of interest.

Publisher Copyright:
© 2022 American Dairy Science Association

Keywords

  • biosensor
  • precision livestock farming
  • rumen

PubMed: MeSH publication types

  • Journal Article
  • Review

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