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...

Reactive oxygen and nitrogen species (ROS-RNS) are important defence substances involved in the immune response against pathogens. An excessive increase in ROS-RNS, however, can damage the organism causing oxidative stress (OS). The organism is able to neutralise OS by the production of antioxidant enzymes (AE); hence, tissue damage is the result of an imbalance between oxidant and antioxidant ...

Assessment and monitoring of soil organic matter (SOM) quality are important for understanding SOM dynamics and developing management practices that will enhance and maintain the productivity of agricultural soils. Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy (350-2500 nm) has received increasing attention over the recent decades as a promising technique for SOM analysis...

15 Field-based plant phenomics requires robust crop sensing platforms and data analysis tools to successfully identify cultivars that exhibit phenotypes with high agronomic and economic importance. Such efforts will lead to genetic improvements that maintain high crop yield with concomitant tolerance to environmental stresses. The objectives of this study were to investigate proximal hyperspect...

This study aims to investigate the near-infrared spectral properties of Rose Oxide (4-Methyl-2-(2-methyl-1-propenyl) tetrahydropyran) in wine, establish a quantitative detection, and build relationships between chemical groups characteristic bands, so as provide ideas references for detection low-content aroma substance wine. In total, 133 samples with different wine matrices were analyzed usin...

Application of multivariate curve resolution alternating least squares (MCR-ALS), for the resolution and quantification of different analytes in different type of pharmaceutical and agricultural samples is shown. In particular, MCR-ALS is applied first to the UV spectrophotometric quantitative analysis of mixtures of commercial steroid drugs, and second to the near-infrared (NIR) spectrophotome...