Results 81 to 90 of about 5,519 (170)

Detection of Hardening in Mangosteens Using near-Infrared Hyperspectral Imaging

Horticulturae
Mangosteens can develop a postharvest physiological disorder, called “hardening”, which affects their marketability and is not detectable using visual inspection.
Saranya Workhwa, Thitirat Khanthong, Napatsorn Manmak, Anthony Keith Thompson, Sontisuk Teerachaichayut   +4 more
doaj   +1 more source

Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces

The Analyst, 2019
PLSR with ATR-FTIR chemical imaging predicts protein adhesion on polymeric surfaces well ( R 2 = 0.99, RMSECV = 0.16).
S. Mukherjee, J. A. Martinez-Gonzalez, A. A. Gowen   +2 more
openaire   +4 more sources

Quantitative measurement of internal quality of carrots using hyperspectral imaging and multivariate analysis

Scientific Reports
The study aimed to measure the carotenoid (Car) and pH contents of carrots using hyperspectral imaging. A total of 300 images were collected using a hyperspectral imaging system, covering 472 wavebands from 400 to 1000 nm. Regions of interest (ROIs) were
Arcel Mutombo Mulowayi, Zhen Hui Shen, Witness Joseph Nyimbo, Zhi Feng Di, Nyumah Fallah, Shu He Zheng   +5 more
doaj   +1 more source

Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression

Sensors, 2013
Aboveground biomass (AGB) is one of the strategic biophysical variables of interest in vegetation studies. The main objective of this study was to evaluate the Support Vector Machine (SVM) and Partial Least Squares Regression (PLSR) for estimating the ...
Miguel Marabel, Flor Alvarez-Taboada
doaj   +1 more source

Improvement of a Robotic Manipulator Model Based on Multivariate Residual Modeling

Frontiers in Robotics and AI, 2017
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 ...
Serge Gale, Hodjat Rahmati, Jan Tommy Gravdahl, Harald Martens   +3 more
doaj   +1 more source

Leveraging design of experiments to build chemometric models for the quantification of uranium (VI) and HNO3 by Raman spectroscopy

Frontiers in Nuclear Engineering
Partial least squares regression (PLSR) and support vector regression (SVR) models were optimized for the quantification of U(VI) (10–320 g L−1) and HNO3 (0.6–6 M) by Raman spectroscopy with optimized calibration sets chosen by optimal design of ...
Luke R. Sadergaski, Jeffrey D. Einkauf, Laetitia H. Delmau, Jonathan D. Burns   +3 more
doaj   +1 more source

Estimating dry matter in African stargrass (Cynodon nlemfuensis) forage with in-field hyperspectral proximal sensing

Smart Agricultural Technology
Hyperspectral remote sensing, applied to forage monitoring, stands as an innovative technology promising to enhance livestock production by providing real-time results at reduced costs.
MG Blanco-Barrientos, MM Rojas-Downing, AM Rojas-González, JA Elizondo-Salazar   +3 more
doaj   +1 more source

PARTIAL LEAST SQUARES REGRESSION (PLSR) APPLIED FOR ASSESSING THE ECONOMIC RESILIENCE IN EU COUNTRIES

Journal of Public Administration, Finance and Law, 2023
openaire   +1 more source

Non-destructive yield estimation of onion and garlic using UAV-based hyperspectral imaging and hybrid machine learning models. [PDF]

BMC Plant Biol
Su Y, Long J, Chen J, Zhou R, Liu Z, Deng H, Yuan Y.   +6 more
europepmc   +1 more source

Predicting leaf traits in wine grapes with reflectance spectroscopy. [PDF]

PLoS One
Mariani RO, Isaac ME, Cathline KA, Robertson G, Martin AR.   +4 more
europepmc   +1 more source