Computer Vision Technology For Food Quality Evaluation

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Computer Vision Technology for Food Quality Evaluation

Author : Da-Wen Sun
Publisher : Elsevier
Page : 600 pages
File Size : 55,8 Mb
Release : 2011-04-28
Category : Health & Fitness
ISBN : 0080556248

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Computer Vision Technology for Food Quality Evaluation by Da-Wen Sun Pdf

The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source. · Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. · International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use · Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.

Computer Vision Technology for Food Quality Evaluation

Author : Da-Wen Sun
Publisher : Academic Press
Page : 658 pages
File Size : 50,8 Mb
Release : 2016-04-07
Category : Technology & Engineering
ISBN : 9780128025994

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Computer Vision Technology for Food Quality Evaluation by Da-Wen Sun Pdf

Computer Vision Technology for Food Quality Evaluation, Second Edition continues to be a valuable resource to engineers, researchers, and technologists in research and development, as well as a complete reference to students interested in this rapidly expanding field. This new edition highlights the most recent developments in imaging processing and analysis techniques and methodology, captures cutting-edge developments in computer vision technology, and pinpoints future trends in research and development for food quality and safety evaluation and control. It is a unique reference that provides a deep understanding of the issues of data acquisition and image analysis and offers techniques to solve problems and further develop efficient methods for food quality assessment. Thoroughly explains what computer vision technology is, what it can do, and how to apply it for food quality evaluation Includes a wide variety of computer vision techniques and applications to evaluate a wide variety of foods Describes the pros and cons of different techniques for quality evaluation

Computer Vision Technology in the Food and Beverage Industries

Author : D-W Sun
Publisher : Elsevier
Page : 528 pages
File Size : 53,7 Mb
Release : 2012-08-13
Category : Computers
ISBN : 9780857095770

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Computer Vision Technology in the Food and Beverage Industries by D-W Sun Pdf

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry. Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality. With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry

Emerging Technologies for Food Quality and Food Safety Evaluation

Author : Yong-Jin Cho,Sukwon Kang
Publisher : CRC Press
Page : 378 pages
File Size : 41,9 Mb
Release : 2011-03-09
Category : Technology & Engineering
ISBN : 9781439815250

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Emerging Technologies for Food Quality and Food Safety Evaluation by Yong-Jin Cho,Sukwon Kang Pdf

Even though the perception of food quality may depend on its hedonic and often subjective attributes, it is essential to quantitatively evaluate its quality and safety. Fortunately, the advent of sophisticated systems, including nondestructive testing techniques, has made it possible to definitively evaluate food quality. Reflecting these advances,

Hyperspectral Imaging for Food Quality Analysis and Control

Author : Da-Wen Sun
Publisher : Elsevier
Page : 496 pages
File Size : 42,6 Mb
Release : 2010-06-29
Category : Technology & Engineering
ISBN : 0080886280

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Hyperspectral Imaging for Food Quality Analysis and Control by Da-Wen Sun Pdf

Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation Includes real-world, practical application to demonstrate the viability and challenges of working with this technology Provides necessary information for making correct determination on use of hyperspectral imaging

Nondestructive Evaluation of Food Quality

Author : Shyam N. Jha
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 46,6 Mb
Release : 2010-11-30
Category : Science
ISBN : 9783642157967

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Nondestructive Evaluation of Food Quality by Shyam N. Jha Pdf

Numerous works on non-destructive testing of food quality have been reported in the literature. Techniques such as Near InfraRed (NIR) spectroscopy, color and visual spectroscopy, electronic nose and tongue, computer vision (image analysis), ultrasound, x-ray, CT and magnetic resonance imaging are some of the most applied for that purpose and are described in this book. Aspects such as theory/basics of the techniques, practical applications (sampling, experimentation, data analysis) for evaluation of quality attributes of food and some recent works reported in literature are presented and discussed. This book is particularly interesting for new researchers in food quality and serves as an updated state-of-the-art report for those already familiar with the field.

Nondestructive Food Evaluation

Author : Sundaram Gunasekaran
Publisher : CRC Press
Page : 446 pages
File Size : 48,5 Mb
Release : 2000-12-06
Category : Technology & Engineering
ISBN : 0824704533

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Nondestructive Food Evaluation by Sundaram Gunasekaran Pdf

This volume illustrates significant changes in optical, magnetic, ultrasonic, mechanical and biological nondestructive evaluation techniques for online automatic control of food quality evaluation, including X-ray tomography. It presents advances in computer vision, X-ray imaging, ultrasonics, biosensors, and data analysis.

Hyperspectral Imaging Technology in Food and Agriculture

Author : Bosoon Park,Renfu Lu
Publisher : Springer
Page : 403 pages
File Size : 40,9 Mb
Release : 2015-09-29
Category : Technology & Engineering
ISBN : 9781493928361

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Hyperspectral Imaging Technology in Food and Agriculture by Bosoon Park,Renfu Lu Pdf

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

Advanced Nondestructive Detection Technologies in Food

Author : Quansheng Chen,Hao Lin,Jiewen Zhao
Publisher : Springer Nature
Page : 344 pages
File Size : 51,9 Mb
Release : 2021-08-27
Category : Technology & Engineering
ISBN : 9789811633607

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Advanced Nondestructive Detection Technologies in Food by Quansheng Chen,Hao Lin,Jiewen Zhao Pdf

This book comprehensively introduces non-destructive methods for food quality (i.e. external, internal, sensory, components, and microbiological indicators) detection, through optics, acoustics, chemistry, imaging, and bionic sensing. It highlights in-situ detection of food quality and safety, including principles, signal processing, and analysis of data, non-destructive detection system, and application in the food industry for each method. First, this book introduces the principles and characteristics of various food non-destructive methods. As non-destructive measurements always involve obtaining big data for each testing, this book also describes in detail the signal and big data processing for each non-destructive method. The chapters also introduce the rapid portable detection equipment for food and agricultural products developed in recent years, as well as the intelligent monitoring equipment in the process of food processing. Relevant application cases are provided to help readers better understanding how to apply non-destructive technology for food quality detection. In the noninvasive measurement of food quality, this book has a systematic introduction of the detection principle, data processing, and rapid detection system, in-field detection case studies. This book is novel and practical and can be used as a professional textbook for undergraduates majoring in food science and engineering. It can also be used as a reference book for scientific research and technical personnel engaged in the field of food quality and safety detection.

Computer Vision-Based Agriculture Engineering

Author : Han Zhongzhi
Publisher : CRC Press
Page : 397 pages
File Size : 47,6 Mb
Release : 2019-09-16
Category : Science
ISBN : 9781000691955

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Computer Vision-Based Agriculture Engineering by Han Zhongzhi Pdf

In recent years, computer vision is a fast-growing technique of agricultural engineering, especially in quality detection of agricultural products and food safety testing. It can provide objective, rapid, non-contact and non-destructive methods by extracting quantitative information from digital images. Significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. Computer Vision-Based Agriculture Engineering focuses on these advances. The book contains 25 chapters covering computer vision, image processing, hyperspectral imaging and other related technologies in peanut aflatoxin, peanut and corn quality varieties, and carrot and potato quality, as well as pest and disease detection. Features: Discusses various detection methods in a variety of agricultural crops Each chapter includes materials and methods used, results and analysis, and discussion with conclusions Covers basic theory, technical methods and engineering cases Provides comprehensive coverage on methods of variety identification, quality detection and detection of key indicators of agricultural products safety Presents information on technology of artificial intelligence including deep learning and transfer learning Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in all 25 chapters of this book. This unique work provides students, engineers and technologists working in research, development, and operations in agricultural engineering with critical, comprehensive and readily accessible information. It applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing.

A Guide for Machine Vision in Quality Control

Author : Sheila Anand,L. Priya
Publisher : CRC Press
Page : 193 pages
File Size : 50,8 Mb
Release : 2019-12-23
Category : Computers
ISBN : 9781000753813

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A Guide for Machine Vision in Quality Control by Sheila Anand,L. Priya Pdf

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Infrared Spectroscopy for Food Quality Analysis and Control

Author : Da-Wen Sun
Publisher : Academic Press
Page : 445 pages
File Size : 53,6 Mb
Release : 2009-03-05
Category : Technology & Engineering
ISBN : 9780080920870

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Infrared Spectroscopy for Food Quality Analysis and Control by Da-Wen Sun Pdf

Written by an international panel of professional and academic peers, the book provides the engineer and technologist working in research, development and operations in the food industry with critical and readily accessible information on the art and science of infrared spectroscopy technology. The book should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions. Infrared (IR) Spectroscopy deals with the infrared part of the electromagnetic spectrum. It measure the absorption of different IR frequencies by a sample positioned in the path of an IR beam. Currently, infrared spectroscopy is one of the most common spectroscopic techniques used in the food industry. With the rapid development in infrared spectroscopic instrumentation software and hardware, the application of this technique has expanded into many areas of food research. It has become a powerful, fast, and non-destructive tool for food quality analysis and control. Infrared Spectroscopy for Food Quality Analysis and Control reflects this rapid technology development. The book is divided into two parts. Part I addresses principles and instruments, including theory, data treatment techniques, and infrared spectroscopy instruments. Part II covers the application of IRS in quality analysis and control for various foods including meat and meat products, fish and related products, and others. Explores this rapidly developing, powerful and fast non-destructive tool for food quality analysis and control Presented in two Parts -- Principles and Instruments, including theory, data treatment techniques, and instruments, and Application in Quality Analysis and Control for various foods making it valuable for understanding and application Fills a need for a comprehensive resource on this area that includes coverage of NIR and MVA

Automation for Food Engineering

Author : Yanbo Huang,A. Dale Whittaker,Ronald E. Lacey
Publisher : CRC Press
Page : 241 pages
File Size : 51,5 Mb
Release : 2001-06-28
Category : Technology & Engineering
ISBN : 9781420039023

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Automation for Food Engineering by Yanbo Huang,A. Dale Whittaker,Ronald E. Lacey Pdf

In the past ten years electronics and computer technologies have significantly pushed forward the progress of automation in the food industry. The application of these technologies to automation for food engineering will produce more nutritious, better quality, and safer items for consumers. Automation for Food Engineering: Food Quality Quantizatio

Advances in Computing and Communications, Part III

Author : Ajith Abraham,Jaime Lloret Mauri,John Buford,Junichi Suzuki,Sabu M. Thampi
Publisher : Springer
Page : 684 pages
File Size : 48,7 Mb
Release : 2011-07-08
Category : Computers
ISBN : 9783642227202

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Advances in Computing and Communications, Part III by Ajith Abraham,Jaime Lloret Mauri,John Buford,Junichi Suzuki,Sabu M. Thampi Pdf

This volume is the third part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 70 revised full papers presented in this volume were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on security, trust and privacy; sensor networks; signal and image processing; soft computing techniques; system software; vehicular communications networks.

Evaluation of Quality of Fruits and Vegetables

Author : Harold E. Pattee
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789400942172

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Evaluation of Quality of Fruits and Vegetables by Harold E. Pattee Pdf

Acceptance or rejection of any edible commodity, whether it is raw or processed, is usually conditioned by sensory stimuli. The impact of these stimuli on the decision-making proce·ss is broadly termed sensory evaluation. Advances in sensory evaluation research have been slow in the past because of the human factor-the necessity to use highly trained sensory panels to conduct this research. High technology in strumentation and new understandings of sensory evaluations are now combining to make possible quantum jumps forward in sensory eval uation research. It is widely recognized that the sensory aspects of fruits and vegeta bles are affected by many factors, among them environment, variety, cultural practices, and handling practices. However, if one attempts to find a general reference or compilation of findings regarding this sub ject area there seems to be few, if any, available. A survey of the literature does suggest that in the past few years research into specific factors which influence the sensory aspects of fruits and vegetables has increased significantly. This increased interest in sensory research and the renewed national awareness of the value of research into pre and postharvest quality of fruits and vegetables prompted the Flavor Subdivision, Agricultural and Food Chemistry Division, American Chemical Society to sponsor a symposium entitled "Sensory Evalua tion of Fruits and Vegetables: Effect of Environment, Cultural Prac tices and Variety" during the 1982 meeting in Kansas City, Missouri.