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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/37714

Title: HARVIST: a system for agricultural and weather studies using advanced statistical methods
Authors: Wagstaff, Kiri L.
Mazzoni, Dominic
Sain, Stephan
Keywords: clustering
classification
crop yield
data mining
data fusion
Issue Date: Jun-2005
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
Citation: 2005 Earth-Sun System Technology Conference, Adelphi, MD, June 28-30, 2005
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.
URI: http://hdl.handle.net/2014/37714
Appears in Collections:JPL TRS 1992+

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