Efficient and reliable analysis of chemical analytical data is a great challenge due to the
increase in data size, variety and velocity. New methodologies, approaches and methods …

Due to the large spatial variation of soil organic carbon (SOC) content, assessing the current
state of SOC for large areas is costly and time consuming. Visible and Near Infrared Diffuse …

In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

Rapid, inexpensive, and easy-to-deploy, near-infrared (NIR) spectroscopy can be used to
analyze samples of virtually any composition, origin, and condition. The Handbook of Near …

Near-infrared reflectance spectroscopy (NIRS) was successfully used in this study to
measure soil properties, mainly C and N, requiring spectral pre-treatments. Calculations in …

Laboratory analysis of soil texture is laborious and not environmentally friendly. After
sampling, another 56 h are required for the final report and the laboratory procedure …

Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra
have been created encompassing a wide diversity and heterogeneity of spectra. Among the …

This work developed and validated a new multivariate diffuse reflectance near infrared
method for direct determination of hydrochlorothiazide in powder pharmaceutical samples …

Process applications of mid-infrared (MIR) spectrometry may involve replacement of the
spectrometer and/or measurement probe, which generally requires a calibration transfer …

We discuss applicability domains (ADs) based on ensemble learning in classification and
regression analyses. In regression analysis, the AD can be appropriately set, although …