Cargando…

Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System

This paper reports the nondestructive detection of apple varieties using a multichannel hyperspectral imaging system consisting of an illumination fiber and 30 detection fibers arranged at source–detector distances of 1.5–36 mm over the spectral range of 550–1650 nm. Spatially resolved (SR) spectra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Yuping, Yang, Yutu, Sun, Ye, Zhou, Haiyan, Chen, Kunjie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571201/ https://www.ncbi.nlm.nih.gov/pubmed/32911790 http://dx.doi.org/10.3390/s20185120

Ejemplares similares

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

Measurement of Early Disease Blueberries Based on Vis/NIR Hyperspectral Imaging System
por: Huang, Yuping, et al.
Publicado: (2020)

Hyperspectral imaging combined with CNN for maize variety identification
por: Zhang, Fu, et al.
Publicado: (2023)

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

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

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

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

Identification of Moldy Peanuts under Different Varieties and Moisture Content Using Hyperspectral Imaging and Data Augmentation Technologies
por: Liu, Ziwei, et al.
Publicado: (2022)

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

Multichannel correlation improves the noise tolerance of real-time hyperspectral microimage mosaicking
por: Lang, Ryan T., et al.
Publicado: (2019)

Identification and Quantification of Polyphenols in Croatian Traditional Apple Varieties
por: Skoko, Ana-Marija Gotal, et al.
Publicado: (2022)

Identification of coffee bean varieties using hyperspectral imaging: influence of preprocessing methods and pixel-wise spectra analysis
por: Zhang, Chu, et al.
Publicado: (2018)

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

Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images
por: Li, Wei, et al.
Publicado: (2022)

Recognition of maize seed varieties based on hyperspectral imaging technology and integrated learning algorithms
por: Yang, Huan, et al.
Publicado: (2023)

A Rapid and Highly Efficient Method for the Identification of Soybean Seed Varieties: Hyperspectral Images Combined with Transfer Learning
por: Zhu, Shaolong, et al.
Publicado: (2019)

Classification Learning of Latent Bruise Damage to Apples Using Shortwave Infrared Hyperspectral Imaging
por: Nturambirwe, Jean Frederic Isingizwe, et al.
Publicado: (2021)

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

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

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

Adaptive identification of acoustic multichannel systems using sparse representations
por: Helwani, Karim
Publicado: (2014)

Spectral and Image Integrated Analysis of Hyperspectral Data for Waxy Corn Seed Variety Classification
por: Yang, Xiaoling, et al.
Publicado: (2015)

Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
por: Nouri, Maroua, et al.
Publicado: (2017)

Visible – Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight
por: Gaci, Belal, et al.
Publicado: (2023)

Hyperspectral Imaging for Bloodstain Identification
por: Zulfiqar, Maheen, et al.
Publicado: (2021)

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

In-field hyperspectral imaging dataset of Manzanilla and Gordal olive varieties throughout the season
por: Domínguez-Cid, Samuel, et al.
Publicado: (2022)

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

Prediction of Apple Hybrid Offspring Aroma Based on Hyperspectral
por: Zhu, Huili, et al.
Publicado: (2022)

Hyperspectral Imaging and Spectrometry-Derived Spectral Features for Bitter Pit Detection in Storage Apples
por: Jarolmasjed, Sanaz, et al.
Publicado: (2018)

Active Learning Plus Deep Learning Can Establish Cost-Effective and Robust Model for Multichannel Image: A Case on Hyperspectral Image Classification
por: Shi, Fangyu, et al.
Publicado: (2020)

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
por: Gutiérrez, Salvador, et al.
Publicado: (2018)

Nondestructive Classification of Soybean Seed Varieties by Hyperspectral Imaging and Ensemble Machine Learning Algorithms
por: Wei, Yanlin, et al.
Publicado: (2020)

Optical Identification of Diabetic Retinopathy Using Hyperspectral Imaging
por: Wang, Ching-Yu, et al.
Publicado: (2023)

Hyperspectral dataset of pure and pesticide-coated apples for measuring the level of fertilizers used
por: Md. Mansoor Roomi, S., et al.
Publicado: (2023)

Statistic and Network Features of RGB and Hyperspectral Imaging for Determination of Black Root Mold Infection in Apples
por: Sha, Wen, et al.
Publicado: (2023)

Determination of spectral resolutions for multispectral detection of apple bruises using visible/near-infrared hyperspectral reflectance imaging
por: Baek, Insuck, et al.
Publicado: (2022)

The Identification of Fritillaria Species Using Hyperspectral Imaging with Enhanced One-Dimensional Convolutional Neural Networks via Attention Mechanism
por: Hu, Huiqiang, et al.
Publicado: (2023)

Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis
por: Miao, Aimin, et al.
Publicado: (2018)

Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning
por: Xu, Peng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_r511fjdtdlddfu3brivkqnj92c