Soil salinization seriously threatens agricultural production and ecological environments in arid areas. The accurate rapid monitoring of soil salinity its spatial variability is great significance for the amelioration saline soils. In this study, 191 samples were collected from cotton fields southern Xinjiang, China, to obtain spectral reflectance electrical conductivity (EC) indoors. Then, mu...

the use of chlorophyll fluorescence (chlf) technique was evaluated on nondestructive measurement of sugar content during fruit development. multivariate models, principal component analysis (pca), and partial least-squares regression (plsr), were developed for the classification and prediction of fructose, glucose, and sucrose in fig fruits. the results of this study showed a significant correl...

Partial Least Squares Regression (PLSR) is a linear regression technique developed to deal with high-dimensional regressors and one or several response variables. In this paper we introduce robustified versions of the SIMPLS algorithm being the leading PLSR algorithm because of its speed and efficiency. Because SIMPLS is based on the empirical cross-covariance matrix between the response variab...

A new method is presented for extending a dynamic model of a six degrees of freedom robotic manipulator. A non-linear multivariate calibration of input–output training data from several typical motion trajectories is carried out with the aim of predicting the model systematic output error at time (t+1) from known input reference up till and including time (t). A new partial least squares regres...

Chemometrics methods coupled with hyperspectral imaging technology in visible and near infrared (Vis/NIR) region (380-1030 nm) were introduced to assess total soluble solids (TSS) in mulberries. Hyperspectral images of 310 mulberries were acquired by hyperspectral reflectance imaging system (512 bands) and their corresponding TSS contents were measured by a Brix meter. Random frog (RF) method w...

Phase contrast microscopy is a widely-used technique to observe multi-cellular processes. Two template matching based approaches are proposed to automatically segment cells migrating in 3D Extracellular Matrix (ECM) from phase contrast images. The first approach is based on Partial Least Square Regression (PLSR), while the second applies Principal Component Analysis (PCA) and Support Vector Mac...

Diagnosis and treatment of circadian rhythm sleep-wake disorders both require assessment of circadian phase of the brain's circadian pacemaker. The gold-standard univariate method is based on collection of a 24-hr time series of plasma melatonin, a suprachiasmatic nucleus-driven pineal hormone. We developed and validated a multivariate whole-blood mRNA-based predictor of melatonin phase which r...

Multispectral imaging has been evaluated for characterization of the concentration of a specific cartenoid pigment; astaxanthin. 59 fillets of rainbow trout, Oncorhynchus mykiss, were filleted and imaged using a rapid multispectral imaging device for quantitative analysis. The multispectral imaging device captures reflection properties in 19 distinct wavelength bands, prior to determination of ...

Building cost-effective models is of academic and practical value for fast measurement of soil properties, especially at a farm-scale. The aim of this study is to build quantitative models for soil total nitrogen (TN) and total carbon (TC) using visible and near infrared (VIS-NIR) spectroscopy. Dried samples (n=122) collected from an experimental farm, at Silsoe, Bedfordshire, United Kingdom, w...