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This research was to develop a sensing technique for determining the optical properties of turbid food and agricultural products. Twenty four liquid simulation samples with absorption and reduced scattering coefficients similar to those of apples were created from absorbing dyes and fat emulsion scatterers. A hyperspectral imaging system was used to acquire scattering images of the steady-state diffuse reflectance from the simulation samples over the spectral region between 450 nm and 1,000 nm. The hyperspectral reflectance data were analyzed by using an analytical diffusion theory model for a homogeneous semi-infinite medium. A curve fitting algorithm was used to extract the absorption and reduced scattering coefficients in the wavelength range from 530 nm to 730 nm using the spatial profiles covering the source-detector separations from 1.8 mm to 9.9 mm. The average fitting error for the reduced scattering coefficient was 7.4%, whereas the error for the absorption coefficient was large. Further improvements in data analysis are needed for accurate determination of both scattering and absorption coefficients.