Cargando…

Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis

Hyperspectral images in the spectral range of 874–1734 nm were collected for 14,015, 14,300 and 15,042 grape seeds of three varieties, respectively. Pixel-wise spectra were preprocessed by wavelet transform, and then, spectra of each single grape seed were extracted. Principal component analysis (PC...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Yiying, Zhang, Chu, Zhu, Susu, Gao, Pan, Feng, Lei, He, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6100059/ https://www.ncbi.nlm.nih.gov/pubmed/29867071 http://dx.doi.org/10.3390/molecules23061352

Ejemplares similares

Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging
por: Feng, Lei, et al.
Publicado: (2018)

Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
por: Zhu, Susu, et al.
Publicado: (2019)

Application of hyperspectral imaging and chemometrics for variety classification of maize seeds
por: Zhao, Yiying, et al.
Publicado: (2018)

Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds
por: Bai, Xiulin, et al.
Publicado: (2020)

Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis
por: Kong, Wenwen, et al.
Publicado: (2013)

Identification of Rice Seed Varieties Based on Near-Infrared Hyperspectral Imaging Technology Combined with Deep Learning
por: Jin, Baichuan, et al.
Publicado: (2022)

Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis
por: Feng, Xuping, et al.
Publicado: (2017)

Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds
por: Zhang, Xiaolei, et al.
Publicado: (2012)

Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks
por: Feng, Lei, et al.
Publicado: (2018)

Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging
por: Feng, Xuping, et al.
Publicado: (2017)

Application of near-infrared hyperspectral imaging to discriminate different geographical origins of Chinese wolfberries
por: Yin, Wenxin, et al.
Publicado: (2017)

Single Seed Near-Infrared Hyperspectral Imaging for Classification of Perennial Ryegrass Seed
por: Reddy, Priyanka, et al.
Publicado: (2023)

Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins
por: Feng, Lei, et al.
Publicado: (2021)

Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis
por: He, Juan, et al.
Publicado: (2018)

Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging
por: He, Xiantao, et al.
Publicado: (2019)

Non-Destructive Classification of Organic and Conventional Hens’ Eggs Using Near-Infrared Hyperspectral Imaging
por: Sahachairungrueng, Woranitta, et al.
Publicado: (2023)

Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network
por: Wu, Na, et al.
Publicado: (2019)

Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review
por: Ye, Weixin, et al.
Publicado: (2022)

Identification of Different Varieties of Sesame Oil Using Near-Infrared Hyperspectral Imaging and Chemometrics Algorithms
por: Xie, Chuanqi, et al.
Publicado: (2014)

Identification of pesticide varieties by testing microalgae using Visible/Near Infrared Hyperspectral Imaging technology
por: Shao, Yongni, et al.
Publicado: (2016)

Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning
por: Qi, Hengnian, et al.
Publicado: (2023)

Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview
por: Reddy, Priyanka, et al.
Publicado: (2022)

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning
por: Yang, Yong, et al.
Publicado: (2020)

Maturity Stage Discrimination of Camellia oleifera Fruit Using Visible and Near-Infrared Hyperspectral Imaging
por: Jiang, Hongzhe, et al.
Publicado: (2022)

Visualization of Sugar Content Distribution of White Strawberry by Near-Infrared Hyperspectral Imaging
por: Seki, Hayato, et al.
Publicado: (2023)

Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy
por: Borraz-Martínez, Sergio, et al.
Publicado: (2019)

Discrimination of Grape Seeds Using Laser-Induced Breakdown Spectroscopy in Combination with Region Selection and Supervised Classification Methods
por: He, Yong, et al.
Publicado: (2020)

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barley, Naked Barley, and Wheat Contaminated with Fusarium
por: Lim, Jongguk, et al.
Publicado: (2018)

Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds
por: Yasmin, Jannat, et al.
Publicado: (2022)

Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network
por: Zhu, Susu, et al.
Publicado: (2019)

A Non-Destructive Distinctive Method for Discrimination of Automobile Lubricant Variety by Visible and Short-Wave Infrared Spectroscopy
por: Jiang, Lulu, et al.
Publicado: (2012)

Rapid and Non-destructive Classification of New and Aged Maize Seeds Using Hyperspectral Image and Chemometric Methods
por: Wang, Zheli, et al.
Publicado: (2022)

Identification of Soybean Seed Varieties Based on Hyperspectral Imaging Technology
por: Zhu, Shaolong, et al.
Publicado: (2019)

Rapid Detection of Different Types of Soil Nitrogen Using Near-Infrared Hyperspectral Imaging
por: Chen, Zhuoyi, et al.
Publicado: (2022)

Hyperspectral imaging for seed quality and safety inspection: a review
por: Feng, Lei, et al.
Publicado: (2019)

Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network
por: Wu, Na, et al.
Publicado: (2018)

Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging
por: Yao, Zhifeng, et al.
Publicado: (2019)

A rapid identification of four medicinal chrysanthemum varieties with near infrared spectroscopy
por: Han, Bangxing, et al.
Publicado: (2014)

Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods
por: Weng, Shizhuang, et al.
Publicado: (2020)

Deep Learning Combined with Hyperspectral Imaging Technology for Variety Discrimination of Fritillaria thunbergii
por: Kabir, Muhammad Hilal, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_704gei861t79mn7dedk9plju5v