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