Results 41 to 50 of about 5,862,641 (174)
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu +8 more
wiley +1 more source
Partial Least Squares Methods for Non-Metric Data [PDF]
Partial Least Squares (PLS) methods embrace a suite of data analysis techniques based on algorithms belonging to PLS family. These algorithms consist in various extensions of the Nonlinear estimation by Iterative PArtial Least Squares (NIPALS) algorithm,
Russolillo, Giorgio
core +1 more source
Miniaturized Near-Infrared Analyzer for Quantitative Detection of Trace Water in Ethylene Glycol
To address the limitations of a traditional Fourier-transform infrared (FTIR) spectrometer, including its bulky size, high cost, and unsuitability for on-site industrial detection, this study developed a Fourier-transform near-infrared (FT-NIR ...
Qunling Luo +4 more
doaj +1 more source
Synergistic and Trade‐Off Effects of Plant Communities on Slope Runoff and Sediment Yield
ABSTRACT Plant community functional structure plays an important role in regulating slope runoff and sediment yield on the Loess Plateau. Based on runoff plot monitoring and vegetation surveys in the Yangjuangou catchment, we used partial least squares regression (PLSR) and variable importance in projection (VIP) analysis to assess the effects of ...
Menghan Wu, Jian Hou, Qingsheng Zhong
wiley +1 more source
Coal Quality Analysis Based on Laser-Induced Breakdown Spectroscopy
The study presents a novel approach that integrates laser-induced breakdown spectroscopy (LIBS) data with machine learning algorithms for the rapid evaluation of coal quality. The developed framework enables the determination of three critical parameters:
Rongzhou Zhang +8 more
doaj +1 more source
Precision agriculture for water saving: The case of processing tomato and table grape
Agriculture faces increasing pressure to produce high‐quality food while reducing water use under intensifying climate change and water scarcity. This study compared sensor‐based precision irrigation, drone monitoring, and near‐infrared spectroscopy with conventional farmer management in table grape and processing tomato production systems.
Giuseppe Ferrara +6 more
wiley +1 more source
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang +5 more
wiley +1 more source
From Model to Practice: Testing Near‐Infrared Spectroscopy as a Bone Collagen Prescreening Tool
ABSTRACT Collagen is a vital archaeological material, preserving biochemical signatures that provide insights into past environments, diets, and human–animal interactions. However, diagenetic processes can lead to rapid and often inconspicuous degradation of collagen. Given the variability in collagen preservation and its significance for analyses such
Christina Ryder +9 more
wiley +1 more source
Appendix B. Analysis of the partial least-squares regression (PLSR) model residuals.
Analysis of the partial least-squares regression (PLSR) model ...
Aditya Singh (416287) +4 more
core +1 more source
Rapid monitoring the water extraction process of Radix Paeoniae Alba using near infrared spectroscopy [PDF]
Near infrared (NIR) spectroscopy has been developed into one of the most important process analytical techniques (PAT) in a wide field of applications.
Tian Hu +5 more
doaj +1 more source

