The objective of this study was to find an efficient method for measuring the total soluble solid content (TSSC) and water “Luogang” orange. Quick, accurate, nondestructive detection tools (VIS/NIR spectroscopy, NIR machine vision, electronic nose), four data processing methods (Savitzky–Golay (SG), genetic algorithm (GA), multi-source information fusion (MIF), convolutional neural network (CNN...

ABSTRACT Historical rainfall records are relevant in hydrometeorological studies because they provide information on the spatial features, frequency, and amount of precipitated water a specific place, therefore, it is essential to make an adequate estimation missing data. This study evaluated four methods for estimating monthly data at 46-gauge stations southwestern Colombia covering 1983-2019....

In this paper, the variation transmission model is introduced to build the key quality characteristics identifying model in multistage manufacturing process. Then the PLSR (Partial Least Squares Regression) method is used to solve the multicollinearity problem of the quality characteristics, make model analyzing and identify the key quality characteristics. At last, the aircraft parts manufactu...

In order to vertify the feasibility of the near-infrared to detect the veterinary drug in honey, studying the impact of different background correction methods for linear modeling and nonlinear modeling. Use PLSR to establish the linear model between near-infrared spectroscopy and to be measured, and LSSVR to establish the nonlinear model between near-infrared spectroscopy and to be measured. A...

Many actual multistage manufacturing processes are not serial structure, but parallel structure or hybrid structure. The quality relationship model for multistage manufacturing process with parallel structure was developed based on state space model. The quality relationship model of multistage manufacturing process with hybrid structure was developed via the hierarchical iteration method based...

With the rapid development of China’s industrialization and urbanization, problem heavy metal pollution in soil has become increasingly prominent, seriously threatening safety ecosystem human health. The hyperspectral remote sensing technology provides possibility to achieve non-destructive monitoring contents. This study aimed fully explore potential ground satellite image spectra estimating W...

Numerous statistical machine learning methods suitable for application to highly correlated features, as those that exist spectral data, could potentially improve prediction performance over the commonly used partial least squares approach. Milk samples from 622 individual cows with known detailed protein composition and technological trait data accompanied by mid-infrared spectra were availabl...

Distances matrices are traditionally analyzed with statistical methods that represent distances as maps such as Metric Multidimensional Scaling (MDS), Generalized Procrustes Analysis (GPA), Individual Differences Scaling (INDSCAL), and DISTATIS. MDS analyzes only one distance matrix at a time while GPA, INDSCAL and DISTATIS extract similarities between several distance matrices. However, none o...

Assessment of soil quality under different management practices is crucial for sustainable agricultural production and natural resource use. In this study, statistical methods (principal component analysis, PCA; stepwise discriminant SDA; partial least squares regression with VIP statistics, PLSR) were applied to identify the variables that most discriminated status minimum tillage no-tillage. ...