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Recent research has shown that a hyperspectral imaging-based spatially-resolved technique is useful for determining the optical properties of homogenous fruits and food products. To better characterize fruit properties and quality attributes, it is desirable to consider fruit to be composed of two homogeneous layers of skin and flesh. This research was(More)
The potential of visible and near-infrared reflectance spectroscopy (vis-NIRS) was investigated for its ability to nondestructively detect soluble solids contents (SSC) and pH in orange juices. A total of 104 orange juice samples were used for vis-NIRS at 325-1075 nm using a field spectroradiometer. Wavelet packet transform, standard normal variate(More)
Visible and near-infrared reflectance (visible-NIR) spectroscopy is applied to discriminate different varieties of bayberry juices. The discrimination of visible-NIR spectra from samples is a matter of pattern recognition. By partial least squares (PLS), the spectrum is reduced to certain factors, which are then taken as the input of the backpropagation(More)
This paper reports on the optimization and assessment of a hyperspectral imaging-based spatially-resolved system for determination of the optical properties of biological materials over the wavelengths of 500-1,000 nm. Twelve model samples covering a wide range of absorption and reduced scattering coefficients were created to validate the hyperspectral(More)
A combined estimation model, artificial neural network (ANN) combined with partial least square regression (PLS) method, has been developed for estimation of rapeseed N status. Spectra tests were performed on the rapeseed canopy of 150 samples in the field using a spectrophotometer (325-1075 nm). 5 optimal PLS principal components were determined by PLS(More)
An improved method was proposed in order to accelerate the convergence speed and reduce the training time of back propagation (BP) neural network. The principal component analysis (PCA) was used as the pre-processing to select principal components from the input variables. The regression and correlation analysis were used as the post-processing to analyze(More)
A bio-filtration system is set up based on the analysis of a typical and simple water treatment system. The system mainly consists of a fixed device and a planting filter. We elect ryegrass as the planting-filter, because it gets best sod, mechanic filtration and biofiltration. Effects of static bio-filtration were studied in ryegrass. The results showed(More)
In this review paper applications of Near Infrared (NIR) spectroscopy in agro-food analysis is discussed. NIR spectrometers have a wider application use in agro-food industry and many fields. In agro-food industry application includes pesticide residue detection, chemical detection, microbiological hazard detection, physical hazards detection and food(More)