Deep Learning for Improved Agricultural Risk Management
dc.contributor.author | Newlands, Nathaniel | |
dc.contributor.author | Ghahari, Azar | |
dc.contributor.author | Gel, Yulia R. | |
dc.contributor.author | Lyubchich, Vyacheslav | |
dc.contributor.author | Mahdi, Tahir | |
dc.date.accessioned | 2019-01-02T23:48:17Z | |
dc.date.available | 2019-01-02T23:48:17Z | |
dc.date.issued | 2019-01-08 | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2019.127 | |
dc.identifier.isbn | 978-0-9981331-2-6 | |
dc.identifier.uri | http://hdl.handle.net/10125/59543 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 52nd Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Analytics and AI for Industry - Specific Applications | |
dc.subject | Decision Analytics, Mobile Services, and Service Science | |
dc.subject | Agriculture, Deep learning, Insurance, Risk, Weather | |
dc.title | Deep Learning for Improved Agricultural Risk Management | |
dc.type | Conference Paper | |
dc.type.dcmi | Text |
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