Measuring Moisture Content of Rice Husk Using Hyperspectral Technology
LIU Zhigang
XU Qinchao
Abstract：We took rice husk as an example, examining the potential of hyperspectral technology for quickly mea-suring moisture content in organic substrates. The spectra of the substrate samples with different moisture con-tents was measured by the hyperspectral imaging technology, and we then calculated the most sensitive wave-lengths by transforming the first-order derivative of the reflectivity derived using the stepwise linear regression, from which we established the relationship between the wavelength and the moisture content. The results showed that the characteristic wavelength was 527 nm, 796 nm and 959 nm. It was found that the first-order derivative of the reflectivity in the three wavelengths can predict moisture content in the substrate with a correlation coefficient of 0.91 and a root mean squared error of 5.55%. The hyperspectral technology can thus be used as a reliable method for rapid measurement of moisture content in rice husk.
Keywords：substratewater contenthyperspectralprediction model
Publication Date：2017-01-01
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 82-86 )