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The hyperspectral imagery data were collected from corn and soybean fields from 2001 to 2002 after the seeding, using different hand-held hyperspectral sensors. In data collection, the reflections of visible and near-infrared wavebands were taken from several spots of the fields. The site-specific crop species and yields were recorded for each spot of the fields. Several algorithms were developed and applied to process the data for proper wavelength selection and yield prediction. The algorithms present promising potential for the application in precision agriculture.