The Augmented Agronomist Pipeline and Time Series Forecasting
| dc.contributor.author | Onoufriou, George | |
| dc.contributor.author | Hanheide, Marc | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2021-04-01T12:41:01Z | |
| dc.date.available | 2021-04-01T12:41:01Z | |
| dc.date.issued | 2020-04-17 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 3 | |
| dc.format.extent | 298292 | |
| dc.identifier | 161109993 | |
| dc.identifier | a62d862b-e98a-4db1-8c53-c61383735d8d | |
| dc.identifier.citation | Onoufriou, G, Hanheide, M & Leontidis, G 2020, 'The Augmented Agronomist Pipeline and Time Series Forecasting', 3rd UK Robotics & Autonomous Systems Conference (UK-RAS), 17/04/20 - 17/04/20. https://doi.org/10.31256/Qm1Fu7L | en |
| dc.identifier.citation | conference | en |
| dc.identifier.doi | 10.31256/Qm1Fu7L | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/91891222 | |
| dc.identifier.uri | https://hdl.handle.net/2164/16168 | |
| dc.identifier.url | https://www.ukras.org/publications/ras-proceedings/UKRAS20/ | en |
| dc.language.iso | eng | |
| dc.subject | Machine Learning | en |
| dc.subject | Robotics | en |
| dc.subject | AGRICULTURE | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | The Augmented Agronomist Pipeline and Time Series Forecasting | en |
| dc.type | Conference poster | en |
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