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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