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   Articles with "hyperspectral reflectance" as a keyword



Automatic Identification of Rock-Forming Minerals in Granite Using Laboratory Scale Hyperspectral Reflectance Imaging and Artificial Neural Networks

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recommendations! Published in 2017 at "Journal of Nondestructive Evaluation"

DOI: 10.1007/s10921-017-0431-7

Abstract: Laser cleaning of stones is a well-established technique in conservation of Cultural Heritage. In case of polymineralic granular rocks like granite, the tuning of the laser parameters for safe cleaning becomes a demanding task due… read more here.

Keywords: reflectance imaging; scale hyperspectral; laboratory scale; hyperspectral reflectance ... See more keywords

MA-XRF and hyperspectral reflectance imaging for visualizing traces of antique polychromy on the Frieze of the Siphnian Treasury

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recommendations! Published in 2018 at "Microchemical Journal"

DOI: 10.1016/j.microc.2018.05.050

Abstract: Abstract Of the once colourful decoration of antique Greek statues only few traces remain today. But these allow one to reconstruct part of the polychromy, based on visual and microscopic inspection and spot analysis with… read more here.

Keywords: frieze siphnian; reflectance imaging; reflectance; antique polychromy ... See more keywords

FEM explicit dynamics simulation and NIR hyperspectral reflectance imaging for determination of impact bruises of Lycium barbarum L.

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recommendations! Published in 2019 at "Postharvest Biology and Technology"

DOI: 10.1016/j.postharvbio.2019.05.024

Abstract: Abstract A 3D scanner was used to reverse engineer a model to assess impact bruising of fresh Goji (Lycium barbarum L.) fruit. Based on the results of physical compression tests, an elastic-plastic model was selected… read more here.

Keywords: dynamics simulation; lycium barbarum; hyperspectral reflectance; impact ... See more keywords
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Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-73745-2

Abstract: Nondestructive techniques for estimating nitrogen (N) status are essential tools for optimizing N fertilization input and reducing the environmental impact of agricultural N management, especially in green tea cultivation, which is notably problematic. Previously, hyperspectral… read more here.

Keywords: reflectance estimate; machine learning; hyperspectral reflectance; learning algorithms ... See more keywords

Hyperspectral reflectance spectroscopy for rapid nondestructive microstructural evaluation of high strength internally cured concrete

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-16506-3

Abstract: The utilization of high-strength concrete (HSC) incorporating internal curing (IC) has been experiencing a significant surge in the construction industry. Even though several studies have reported the identification and utilization of various polymers as IC… read more here.

Keywords: quality; spectroscopy; hyperspectral reflectance; hsc ... See more keywords

Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient

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recommendations! Published in 2019 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2019.1620378

Abstract: ABSTRACT Monitoring of microalgae cell concentration during their growing phase is imperative to ensure efficiency in biomass production and to study the cell division kinetics since it impacts the penetration depth of the active light… read more here.

Keywords: concentration; extinction coefficient; cell concentration; hyperspectral reflectance ... See more keywords

Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging

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recommendations! Published in 2022 at "Journal of Biomedical Optics"

DOI: 10.1117/1.jbo.27.10.106003

Abstract: Abstract. Significance Hyperspectral reflectance imaging can be used in medicine to identify tissue types, such as tumor tissue. Tissue classification algorithms are developed based on, e.g., machine learning or principle component analysis. For the development… read more here.

Keywords: algorithms; classification; hyperspectral reflectance; reflectance imaging ... See more keywords

Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance

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recommendations! Published in 2021 at "PLoS ONE"

DOI: 10.1371/journal.pone.0257008

Abstract: In this study, the feasibility of classifying soybean frogeye leaf spot (FLS) is investigated. Leaf images and hyperspectral reflectance data of healthy and FLS diseased soybean leaves were acquired. First, image processing was used to… read more here.

Keywords: classification; soybean frogeye; leaf spot; hyperspectral reflectance ... See more keywords

A non-destructive testing method for early detection of ginseng root diseases using machine learning technologies based on leaf hyperspectral reflectance

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recommendations! Published in 2022 at "Frontiers in Plant Science"

DOI: 10.3389/fpls.2022.1031030

Abstract: Ginseng is an important medicinal plant benefiting human health for thousands of years. Root disease is the main cause of ginseng yield loss. It is difficult to detect ginseng root disease by manual observation on… read more here.

Keywords: root; hyperspectral reflectance; method; ginseng root ... See more keywords

Grading and Detecting of Organic Matter in Phaeozem Based on LSVM-Stacking Model Using Hyperspectral Reflectance Data

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recommendations! Published in 2025 at "Agriculture"

DOI: 10.3390/agriculture15181979

Abstract: Phaeozem, which is recognized as one of the world’s most fertile soils, derives much of its productivity from soil organic matter (SOM). Because SOM strongly influences fertility, soil structure, and ecological functions, it is the… read more here.

Keywords: som; stacking model; lsvm stacking; hyperspectral reflectance ... See more keywords

Hyperspectral Reflectance Imaging Combined with Multivariate Analysis for Diagnosis of Sclerotinia Stem Rot on Arabidopsis Thaliana Leaves

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recommendations! Published in 2019 at "Applied Sciences"

DOI: 10.3390/app9102092

Abstract: Sclerotinia stem rot (SSR) is one of the most destructive diseases in the world caused by Sclerotinia sclerotiorum (S. sclerotiorum), resulting in significant yield loss. Early and high-throughput detection would be critical to prevent SSR… read more here.

Keywords: imaging; analysis; hyperspectral reflectance; stem rot ... See more keywords