Results 41 to 50 of about 7,064 (148)

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

A New Robust Partial Least Squares Regression Method Based on a Robust and an Efficient Adaptive Reweighted Estimator of Covariance

Revstat Statistical Journal, 2019
Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or “partial” version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor ...
Esra Polat , Suleyman Gunay
doaj   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
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, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy

Applied Sciences, 2022
The purpose of this study was to enhance the accuracy of the calorific value estimation of coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS).
Jong Hyun Park, Choong Mo Ryu, Kyung Hoon Park, Jung Hyun Choi, Seung Jae Moon   +4 more
doaj   +1 more source

Synergistic and Trade‐Off Effects of Plant Communities on Slope Runoff and Sediment Yield

Land Degradation &Development, EarlyView.
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

Partial Least Squares, Experimental Design, and Near-Infrared Spectrophotometry for the Remote Quantification of Nitric Acid Concentration and Temperature

Molecules, 2023
Near-infrared spectrophotometry and partial least squares regression (PLSR) were evaluated to create a pleasantly simple yet effective approach for measuring HNO3 concentration with varying temperature levels.
Luke R. Sadergaski, Sawyer B. Irvine, Hunter B. Andrews   +2 more
doaj   +1 more source

Precision agriculture for water saving: The case of processing tomato and table grape

PLANTS, PEOPLE, PLANET, EarlyView.
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, Alessandro Pesole, Rita De Marco, Sara Bisceglie, Giovanni Popeo, Simone Pascuzzi, Luigi Tedone   +6 more
wiley   +1 more source

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

Smart Molecules, EarlyView.
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, Yujing Zhao, Peiyu Yi, Liyuan Duan, Qingwei Meng, Qilei Liu   +5 more
wiley   +1 more source

Comparative Study of NIR-Based Machine Learning for Predicting Soil Nutrients in Indonesian Farmlands

Acta Technologica Agriculturae
This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm).
Adnan Adnan, Ramdhani Taufik Iqbal, Suryana Yaya, Aziz Abdul, Rochmadi Taslim, Kamaruddin Amrullah, Faiza Ninon Nurul   +6 more
doaj   +1 more source

From Model to Practice: Testing Near‐Infrared Spectroscopy as a Bone Collagen Prescreening Tool

Archaeometry, EarlyView.
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, Gerardo Celis, Thibaut Devièse, Thomas Higham, Katerina Douka, Loren Davis, Matthew Collins, Angela Perri, Heather Thakar, Matt Sponheimer   +9 more
wiley   +1 more source