Study of component analysis method of iceberg lettuce using hyperspectral data

Abstract

Destructive inspection by technical institution is mainstream at the component analysis of crops in Japanese agriculture. However, destructive inspection increases costs as the number of times increases and which may affect the yield. Therefore, it is necessary to establish a nondestructive component analysis method. In this paper, we studied the ingredient analysis method of nondestructive using hyperspectral data. We analyzed the correlation coefficient between the spectrum data obtain from hyper spectrum camera and the components in iceberg lettuce which is gained by destructive inspection. We determined the useful wavelength by the correlation of the spectrum with component contained in iceberg lettuce. However, there is a high correlation between calcium and magnesium component data. Therefore, application of this method has limitations. In the future work, verification of valid two band combinations using the normalized spectral index (NDSI) is necessary.