Potential of machine learning in linking national airborne radiometric data to soil class mapping
| dc.contributor.author | O'Leary, Dave | |
| dc.contributor.author | Touhy, Pat | |
| dc.contributor.author | Mellender, P. | |
| dc.contributor.author | Fenton, Owen | |
| dc.contributor.author | Brown, Colin | |
| dc.contributor.author | Daly, Eve | |
| dc.date.accessioned | 2023-10-09T11:04:13Z | |
| dc.date.available | 2023-10-09T11:04:13Z | |
| dc.date.issued | 2020-01 | |
| dc.identifier.citation | O'Leary, Dave, Tuohy, Pat, Mellender, P., Fenton, Owen, Brown, Colin, Daly, Eve. (2020). Potential of machine learning in linking national airborne radiometric data to soil class mapping. 10.13140/RG.2.2.28334.87362/1. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11019/3299 | |
| dc.description | poster presentation | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Teagasc | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
| dc.title | Potential of machine learning in linking national airborne radiometric data to soil class mapping | en_US |
| dc.type | Presentation | en_US |
| dc.identifier.doi | 10.13140/RG.2.2.28334.87362/1. | |
| refterms.dateFOA | 2023-10-09T11:04:15Z |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International