A multi-farm global to local expert-informed machine learning system for strawberry yield forecasting
| dc.contributor.author | Beddows, Matthew Andrew | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2024-03-23T19:44:01Z | |
| dc.date.available | 2024-03-23T19:44:01Z | |
| dc.date.issued | 2024-03-04 | |
| dc.description | This work was funded by the Data Lab, Angus Soft Fruits and a School of Natural and Computing Sciences PhD studentship. The authors do not have permission to share data. | en |
| dc.format.extent | 33 | |
| dc.format.extent | 1209186 | |
| dc.identifier | 285043642 | |
| dc.identifier | e4047cec-2fc8-47c7-bf08-853f8c3c433b | |
| dc.identifier.citation | Beddows, M A & Leontidis, G 2024 'A multi-farm global to local expert-informed machine learning system for strawberry yield forecasting' SSRN, pp. 1-33. < https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4747534 > | en |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/156220655 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23099 | |
| dc.identifier.url | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4747534 | en |
| dc.language.iso | eng | |
| dc.publisher | SSRN | |
| dc.relation.ispartof | en | |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 13 - Climate Action | en |
| dc.subject | 2040 Data and Artificial Intelligence | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | A multi-farm global to local expert-informed machine learning system for strawberry yield forecasting | en |
| dc.type | Preprint | en |
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