Results 151 to 160 of about 4,471 (236)

A Spectral Matching Algorithm Based on the Wasserstein Metric

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Through visual inspection, scientists can easily judge the similarity of pairs of spectra from different sources, whether they are experimental measurements, spectra libraries, or spectra calculations. Spectral similarity is recognized when the peak patterns appear similar, even if the peak positions are shifted or the peak amplitudes are ...
Klaus Neymeyr, Baoxin Zhang, Christoph Kubis, Mattis Brinker, Lukas Prestin, Tomass Andersons, Mathias Sawall, Jan Hellwig   +7 more
wiley   +1 more source

Hyperspectral Inversion of Soil Organic Carbon in Daylily Cultivation Areas of Yunzhou District. [PDF]

Sensors (Basel)
Yao Z, Ran X, Yang C, Li P, Bi R.
europepmc   +1 more source

Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Partial least squares (PLS) regression is widely used for multivariate calibration in high‐dimensional and collinear settings. However, classical PLS relies on least squares optimization and is therefore sensitive to anomalous observations, leverage points, and structured spectral interferences.
Puneet Mishra
wiley   +1 more source

Enabling rapid and accurate grand discrimination of flue-cured tobacco: a near-infrared hyperspectral and machine learning approach. [PDF]

Front Plant Sci
Zou J, Gao H, Wang D, Chen Y, Deng S, Shi N, Yang S, Huang C, Zi D, Du Y, Bai Y, Wang N, Wang G, Liu Z, Zhang J, Zhou P.   +15 more
europepmc   +1 more source

Conceptual Differences Between Hyperspectral Unmixing, PCA, and Clustering: A Practical Demonstration Using Single‐Cell Raman Imaging

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Hyperspectral unmixing is a well‐established approach for analyzing spectroscopic images by recovering chemically interpretable component spectra and their spatial distributions. Despite its distinct analytical objective, unmixing is frequently discussed alongside or directly compared with more familiar multivariate techniques such as ...
Rustam R. Guliev, Ute Neugebauer
wiley   +1 more source

Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images. [PDF]

iScience
Lu B, Ye S, Bai Z, Ye C, Xu Y, Zhou K, Shokirov S, Golovko V.   +7 more
europepmc   +1 more source

Decision‐making factors for variable rate application of seed and fertilizer in precision agriculture systems: A review

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Input management practices within precision agriculture systems have enabled grain and oilseed producers to apply agricultural inputs variably, facilitating resource, yield, and profit optimization. Despite significant progress in variable rate technologies, research comparing different methodologies and comprehensive guidelines to assist ...
Karen Joané Truter, Marion Delport, Ferdinand Meyer, Pieter Andreas Swanepoel   +3 more
wiley   +1 more source

Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image. [PDF]

Front Plant Sci
Yao Y, He J, Gao Z, Zhu Z, Liu S, Li C, Feng H, Zhang X.   +7 more
europepmc   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

eFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, Temesgen Anjulo Ageru   +9 more
wiley   +1 more source

Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]

J Imaging
Keshavarz A, Bieber G, Wulff D, Babian C, Lüdtke S.   +4 more
europepmc   +1 more source