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HARVIST: a system for agricultural and weather studies using advanced statistical methods

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dc.contributor.author Wagstaff, Kiri L.
dc.contributor.author Mazzoni, Dominic en_US
dc.contributor.author Sain, Stephan en_US
dc.date.accessioned 2005-10-11T22:43:00Z
dc.date.available 2005-10-11T22:43:00Z
dc.date.issued 2005-06
dc.identifier.citation 2005 Earth-Sun System Technology Conference, Adelphi, MD, June 28-30, 2005 en
dc.identifier.clearanceno 05-1370
dc.identifier.uri http://hdl.handle.net/2014/37714
dc.description.abstract Remote sensing instruments in Earth orbit provide a rich source of information about current agricultural conditions. Observed over time, patterns emerge that can assist in the prediction of future conditions, such as the yield expected for a given crop at the end of the growing season. en
dc.description.sponsorship NASA en
dc.format.extent 3633514 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. en
dc.subject clustering en
dc.subject classification en
dc.subject crop yield en
dc.subject data mining en
dc.subject data fusion en
dc.title HARVIST: a system for agricultural and weather studies using advanced statistical methods en
dc.type Preprint en


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