Analysis of spectral characteristics of broiler litter according to moisture content

The broiler farms have been emphasizing the importance of moisture management in litter. However, farms, it is hard to manage litter during breeding period due lack labor. In order automate litter, a method monitoring needed. This study analyzed spectral characteristics according content using hyperspectral imaging check possibility identifying by camera image. Hyperspectral images with 0%, 19.3%, 31.1%, and 39.8% were acquired system them comparatively preprocessing. effective wavelengths selected base on pearson correlation coefficient between content. Then, best preprocessing wavelength was standard deviation reflectance from images. result analysis showed that 556~580, 1176~1237, 1327~1647 nm bands SG+2nd derivatives for