Nondestructive detection of storage time of strawberries using visible/near-infrared hyperspectral imaging-Reference-Cited by-同舟云学术

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Nondestructive detection of storage time of strawberries using visible/near-infrared hyperspectral imaging

Published:2020-01-01 Issue:1 Volume:23 Page:269-281
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Weng Shizhuang¹,Yu Shuan¹,Dong Ronglu²,Pan Fangfang¹,Liang Dong¹

Affiliation:

1. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei, China

2. Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

National Key Research and Development Program

Ministry of Agriculture

Natural Science Research Project of Anhui Provincial Education Department

Anhui Provincial Major Scientific and Technological Special Project

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2020.1716793

Reference48 articles.

1. Identification of Bruise and Fungi Contamination in Strawberries Using Hyperspectral Imaging Technology and Multivariate Analysis

2. Detection of fungal infections in strawberry fruit by VNIR/SWIR hyperspectral imaging

3. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry

4. Quality of heat-treated strawberry fruit during refrigerated storage

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1. Early bruise detection, classification and prediction in strawberry using Vis-NIR hyperspectral imaging;Food Control;2025-01

2. Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target characteristic selection and multi-task model;Journal of Food Composition and Analysis;2024-11

3. Yakın Kızılötesi Spektroskopisi Kullanılarak Olgunlaşma Aşamasındaki Çilek Meyvesinin Bazı Kalite Özelliklerinin Hasarsız Tespiti;Türk Tarım ve Doğa Bilimleri Dergisi;2024-01-28

4. A single-wavelength laser relaxation spectroscopy-based machine learning solution for apple mechanical damage detection;Multimedia Tools and Applications;2024-01-17

5. Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm;International Journal of Applied Earth Observation and Geoinformation;2023-09

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