dc.contributor.author | Flores, David F. G. | |
dc.contributor.author | Mallon, John | |
dc.contributor.author | O'Sullivan, Olga | |
dc.contributor.author | Ryan, Daniel | |
dc.contributor.author | Mullen, Michael P. | |
dc.date.accessioned | 2022-03-24T13:02:57Z | |
dc.date.available | 2022-03-24T13:02:57Z | |
dc.date.copyright | 2022 | |
dc.date.issued | 2022 | |
dc.identifier.citation | Flores, David F. G., Mallon, J.G., O'Sullivan, O., Ryan, D., Mullen, M.P. (2022). An investigation into the development of an artificial intelligence to deliver real time reproductive management analysis. Presented at TUS MM Poster Presentation Seminar January 2022 | en_US |
dc.identifier.uri | http://research.thea.ie/handle/20.500.12065/3929 | |
dc.description.abstract | Rising global temperatures, increased extreme weather events, shrinking
glaciers, rising sea levels and mass coral bleaching are some of the
increasing observable effects on the environment, associated with
climate change.
• The scientific consensus is that Green House Gases (GHG) are causing the
“greenhouse effect”, trapping heat which would have been emitted
towards space (NASA, 2019).
• The current world population is 7.6 billion and is expected to rise to 8.6
billion by 2030, an increase of over 13% in the next 10 years.
• Ireland has been set a target (Paris agreement (NDC)) of a 30% reduction
in GHG by 2030 (DCCAE, 2018). | en_US |
dc.format | PDF | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Technological University of the Shannon Midlands Midwest | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Artificial intelligence | en_US |
dc.subject | Reproduction management - Livestock | en_US |
dc.title | An investigation into the development of an artificial intelligence to deliver real time reproductive management analysis. | en_US |
dc.type | info:eu-repo/semantics/other | en_US |
dc.contributor.affiliation | Technological University of the Shannon Midlands Midwest | en_US |
dc.contributor.sponsor | y Enterprise Ireland Innovation Partnership Programme IP 2019 0811E and ReproDOC Ltd. | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0002-9339-5093 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0003-1185-4389 | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |
dc.subject.department | Bioscience Research Institute TUS:MM | en_US |
dc.type.version | info:eu-repo/semantics/publishedVersion | en_US |