Automatic Identification of Rock-Forming Minerals in Granite Using Laboratory Scale Hyperspectral Reflectance Imaging and Artificial Neural Networks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms
Sign Up to like & getrecommendations! 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
Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Hyperspectral Reflectance Imaging Combined with Multivariate Analysis for Diagnosis of Sclerotinia Stem Rot on Arabidopsis Thaliana Leaves
Sign Up to like & getrecommendations! 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
Finite Element Analysis and Near-Infrared Hyperspectral Reflectance Imaging for the Determination of Blueberry Bruise Grading
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11131899
Abstract: Bruising of the subcutaneous tissues of blueberries is an important form of mechanical damage. Different levels of bruising have a significant effect on the post-harvest marketing of blueberries. To distinguish different grades of blueberry bruises… read more here.
Keywords: bruise; hyperspectral reflectance; near infrared; infrared hyperspectral ... See more keywords
Hyperspectral-reflectance dataset of dry, wet and submerged marine litter
Sign Up to like & getrecommendations! Published in 2021 at "Earth System Science Data"
DOI: 10.5194/essd-13-713-2021
Abstract: Abstract. This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of plastic litter samples. The plastic litter samples include virgin and real samples from the Port of Antwerp. They were measured in dry conditions in… read more here.
Keywords: hyperspectral reflectance; dataset dry; reflectance dataset; reflectance ... See more keywords