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Determination of Moisture Content Using NIR Reflectance Spectroscopy with Single Calibration for Both Valencia and Virginia In-Shell Peanuts

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Transactions of the ASABE. 55(2): 609-612. (doi: 10.13031/2013.41362) @2012
Authors:   C. V. K. Kandala, J. Sundaram
Keywords:   Calibration model, In-shell peanuts, Moisture content prediction, NIR reflectance spectroscopy, Nondestructive, Partial least square regression, Residual predictive deviation, Standard error of prediction

Near-infrared (NIR) spectroscopy was used to measure the moisture content (MC) of in-shell Virginia and Valencia type peanuts. NIR spectral data from 400 to 2500 nm were collected on calibration samples from Virginia type peanuts ranging in moisture from 6% to 22%. Calibration models to estimate MC were developed using raw and derivative data, and an appropriate model was selected based on parameters such as standard error of calibration and prediction. The ability to predict MC in different types of in-shell peanuts with a single calibration model would save time and labor, otherwise needed for multiple calibrations, and could be useful in developing a commercial instrument.

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