Cold injury (CI) causes irreversible damage to tea plants, which results in decline the quality of famous teas and huge economic loss. A new, quick, non-destructive method is provided assess CI leaf based on terahertz (THz) spectroscopy. Absorbance samples was measured with THz spectroscopy frequency bands from 0.1 1.6 under low temperature treatments 4.0, 0, −2.5, −5.0, −7.5, −10.0 °C. Fast Fo...

With the development of mid-infrared (MIR) photoelectric devices, spectroscopy has become one important methods for non-invasive detection blood glucose. The region (4000 - 400 cm-1) well-known fingerprint (1200 800 glucose, which clearer characteristic absorption peaks and better specificity. There is a lot molecular information about glucose in MIR. by needs to achieve certain accuracy, quant...

The purpose of this study was to enhance the accuracy calorific value estimation coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS). Savitzky–Golay (SG)-smoothing and SG derivative were adopted improve prediction model. relationship among original, SG-smoothing-pretreated, derivative-pretreated LIBS their elemental concentrations determined using partial ...

For a fast and accurate evaluation of the values damaged fragrant pears, prediction method damage degree Korla pears was proposed. To study variation laws damages under different volumes squeezing deformation, partial least squares regression (PLSR), generalised neural network (GRNN) adaptive fuzzy inference system (ANFIS) were chosen to predict establish optimal model. The results demonstrated...

Abstract Detailed knowledge of a soil’s lime requirement (LR) is prerequisite for demand-based fertilization to achieve the optimum soil pH and thus sustainably increasing fertility crop yields. LR can be directly determined by base neutralizing capacity (BNC) obtained soil-base titration. For site-specific acidity management, detailed information on within-field variation BNC required. However...

The past decade has witnessed a rapid decline in the Arctic sea ice and therefore raised rising demand for forecasts. In this study, based on an analysis of long-term summer concentration (SIC) global surface temperature (SST) datasets, physical–empirical (PE) partial least squares regression (PLSR) model is presented order to predict SIC variability around key areas shipping route. First, main...