육계사 바닥재 수분 함량에 따른 분광 특성 분석 = Analysis of spectral characteristics of broiler litter according to moisture content

다국어 초록 (Multilingual Abstract)

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