Invited review: Sensor technologies for real-time monitoring of the rumen environment
dc.contributor.author | Han, Chan Su | en |
dc.contributor.author | Kaur, Upinder | en |
dc.contributor.author | Bai, Huiwen | en |
dc.contributor.author | Dos Reis, Barbara Roqueto | en |
dc.contributor.author | White, Robin R. | en |
dc.contributor.author | Nawrocki, Robert A. | en |
dc.contributor.author | Voyles, Richard M. | en |
dc.contributor.author | Kang, Min Gyu | en |
dc.contributor.author | Priya, Shashank | en |
dc.date.accessioned | 2022-10-21T12:36:59Z | en |
dc.date.available | 2022-10-21T12:36:59Z | en |
dc.date.issued | 2022-08 | en |
dc.description.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 and requirements of the sensors are summarized with respect to the selected target parameters. Lastly, future discussed. | en |
dc.description.notes | 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. | en |
dc.description.sponsorship | NIFA (USDA, Washington, DC) [2019-67021- 28991]; NSF -USDA [2018-67007-28452]; NSF CPS program [2018-67007-28439, 2019-67021- 28990] | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.3168/jds.2021-20576 | en |
dc.identifier.eissn | 1525-3198 | en |
dc.identifier.issn | 0022-0302 | en |
dc.identifier.issue | 8 | en |
dc.identifier.pmid | 35773034 | en |
dc.identifier.uri | http://hdl.handle.net/10919/112249 | en |
dc.identifier.volume | 105 | en |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | biosensor | en |
dc.subject | rumen | en |
dc.subject | precision livestock farming | en |
dc.title | Invited review: Sensor technologies for real-time monitoring of the rumen environment | en |
dc.title.serial | Journal of Dairy Science | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
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