Journal ArticleDOI
Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review
TLDR
Recent advances and applications of Hyperspectral imaging in detecting, classifying, and visualizing quality and safety attributes of fruits and vegetables and the basic principles and major instrumental components are presented.Abstract:
Objective quality assessment and efficacious safety surveillance for agricultural and food products are inseparable from innovative techniques. Hyperspectral imaging (HSI), a rapid, nondestructive, and chemical-free method, is now emerging as a powerful analytical tool for product inspection by simultaneously offering spatial information and spectral signals from one object. This paper focuses on recent advances and applications of HSI in detecting, classifying, and visualizing quality and safety attributes of fruits and vegetables. First, the basic principles and major instrumental components of HSI are presented. Commonly used methods for image processing, spectral pretreatment, and modeling are summarized. More importantly, morphological calibrations that are essential for nonflat objects as well as feature wavebands extraction for model simplification are provided. Second, in spite of the physical and visual attributes (size, shape, weight, color, and surface defects), applications from the last decade are reviewed specifically categorized into textural characteristics inspection, biochemical components detection, and safety features assessment. Finally, technical challenges and future trends of HSI are discussed.read more
Citations
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Journal ArticleDOI
Combined hot-air and microwave-vacuum drying for improving drying uniformity of mango slices based on hyperspectral imaging visualisation of moisture content distribution
Yuan-Yuan Pu,Da-Wen Sun +1 more
TL;DR: In this paper, three drying approaches (hot-air drying, microwave-vacuum drying (MVD), and the combined method (HAD+MVD)) were applied to dehydrate mango slices.
Journal ArticleDOI
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.
Jan Behmann,Kelvin Acebron,Dzhaner Emin,Simon Bennertz,Shizue Matsubara,Stefan Thomas,David Bohnenkamp,Matheus Thomas Kuska,Jouni Jussila,Harri Salo,Anne-Katrin Mahlein,Uwe Rascher +11 more
TL;DR: This study provides an introduction into the measurement pipeline of the Specim IQ as well as a radiometric performance comparison with a well-established hyperspectral imager.
Journal ArticleDOI
Non-destructive and Rapid Evaluation of Staple Foods Quality by Using Spectroscopic Techniques: A Review.
Wen-Hao Su,Hong-Ju He,Da-Wen Sun +2 more
TL;DR: This review summarizes the recent applications and progress of such spectroscopic techniques in determining various qualities of staple foods and challenges and future trends of these spectroscopy techniques are presented.
Journal ArticleDOI
Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review
TL;DR: An overview of the most important multivariate data analysis techniques for exploring spectral data, detecting outliers and building calibration models for predicting the quality traits of interest is provided.
Journal ArticleDOI
Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: Current state-of-the-art research advances
TL;DR: This review provides a detailed overview of the recent efforts devoted to HSI and MSI technologies for evaluating the quality and safety of different meat products and the probability of its widespread application.
References
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Journal ArticleDOI
Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
Till Rumpf,Anne-Kathrin Mahlein,Ulrike Steiner,Erich-Christian Oerke,H. W. Dehne,Lutz Plümer +5 more
TL;DR: A procedure for the early detection and differentiation of sugar beet diseases based on Support Vector Machines and spectral vegetation indices to discriminate diseased from non-diseased sugar beet leaves and to identify diseases even before specific symptoms became visible.
Journal ArticleDOI
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications
Di Wu,Da-Wen Sun +1 more
TL;DR: It is evident that hyperspectral imaging can automate a variety of routine inspection tasks and is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future.
Book
Chemometrics in Analytical Spectroscopy
TL;DR: Descriptive statistics the acquisition and enhancement of data feature selection and extraction pattern recognition - unsupervised analysis pattern Recognition - supervised learning calibration and regression analysis matrix tools and operations.
Journal ArticleDOI
Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
TL;DR: In this paper, a multivariate calibration technique was used for the determination of moisture content (MC), total soluble solids (TSS), and acidity (expressed as pH) in strawberry images.
Journal ArticleDOI
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
Yao-Ze Feng,Da-Wen Sun +1 more
TL;DR: It is envisaged that hyperspectral imaging can be considered as an alternative technique for conventional methods in realizing inspection automation, leading to the elimination of the occurrence of food safety problems at the utmost.
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Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications
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