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Computer Vision Technology in the Food and Beverage Industries

Author : D-W Sun
Publisher : Elsevier
Page : 524 pages
File Size : 34,16 MB
Release : 2012-08-13
Category : Technology & Engineering
ISBN : 0857095773

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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

Acrylamide in Food

Author : Vural Gokmen
Publisher : Elsevier
Page : 646 pages
File Size : 36,54 MB
Release : 2023-09-18
Category : Technology & Engineering
ISBN : 0323991904

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Acrylamide in Food, Second Edition, is fully updated with four new chapters that incorporate current literature on acrylamide, including analysis, formation mechanisms, levels in foods, reduction strategies, and new regulations, such as the one made by the European Union in 2017 regarding the presence of acrylamide in processed foods. The book comprises of four parts: part one introduces acrylamide and the food chain in the context of harm and health. Part two focusses on acrylamide in various types of foods, such as bakery products, fried potato products, coffee, battered products, water, table olives, etc. Part three highlights its interaction mechanisms and health effects. Part four discusses methods of analysis. Acrylamide in Food, Second Edition is edited by a team of international experts in the field and is a quality reference in the developing field of acrylamide in food. It is valuable to researchers in the food industry or working on evaluating the factors affecting the formation of acrylamide in different heat-treated foods and the possibilities of reducing acrylamide formation accordingly. Thoroughly updated revision, providing detailed information on acrylamide formation in various foods Includes updated content on new regulation regarding the presence of acrylamide in processed foods Includes interaction of acrylamide with other compounds and its fate during digestion Explores acrylamide in the food chain in the context of harm, such as acrylamide and cancer, neuropathology of acrylamide, and maternal acrylamide

Robotics and Automation in the Food Industry

Author : Darwin G Caldwell
Publisher : Elsevier
Page : 527 pages
File Size : 37,39 MB
Release : 2012-12-03
Category : Technology & Engineering
ISBN : 0857095765

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The implementation of robotics and automation in the food sector offers great potential for improved safety, quality and profitability by optimising process monitoring and control. Robotics and automation in the food industry provides a comprehensive overview of current and emerging technologies and their applications in different industry sectors.Part one introduces key technologies and significant areas of development, including automatic process control and robotics in the food industry, sensors for automated quality and safety control, and the development of machine vision systems. Optical sensors and online spectroscopy, gripper technologies, wireless sensor networks (WSN) and supervisory control and data acquisition (SCADA) systems are discussed, with consideration of intelligent quality control systems based on fuzzy logic. Part two goes on to investigate robotics and automation in particular unit operations and industry sectors. The automation of bulk sorting and control of food chilling and freezing is considered, followed by chapters on the use of robotics and automation in the processing and packaging of meat, seafood, fresh produce and confectionery. Automatic control of batch thermal processing of canned foods is explored, before a final discussion on automation for a sustainable food industry.With its distinguished editor and international team of expert contributors, Robotics and automation in the food industry is an indispensable guide for engineering professionals in the food industry, and a key introduction for professionals and academics interested in food production, robotics and automation. Provides a comprehensive overview of current and emerging robotics and automation technologies and their applications in different industry sectors Chapters in part one cover key technologies and significant areas of development, including automatic process control and robotics in the food industry and sensors for automated quality and safety control Part two investigates robotics and automation in particular unit operations and industry sectors, including the automation of bulk sorting and the use of robotics and automation in the processing and packaging of meat, seafood, fresh produce and confectionery

Analytics of Life

Author : Mert Damlapinar
Publisher : NLITX
Page : 347 pages
File Size : 41,82 MB
Release : 2019-11-11
Category : Business & Economics
ISBN :

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Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* * What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, "Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology." Oxford University professor Nick Bostrom argues that if machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. MIT professor Max Tegmark describes and illuminates the recent, ground-breaking advances in Artificial Intelligence and how it might overtake human intelligence. As Oxford University economist Daniel Susskind points out, technological progress could bring about unprecedented prosperity, solving one of humanity's oldest problems: how to make sure that everyone has enough to live on. Distinguished AI researcher and professor of computer science at UC Berkeley, Russell Stuart suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history.

Computer Vision Technology for Food Quality Evaluation

Author : Da-Wen Sun
Publisher : Elsevier
Page : 600 pages
File Size : 36,82 MB
Release : 2011-04-28
Category : Technology & Engineering
ISBN : 0080556248

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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 : 660 pages
File Size : 34,2 MB
Release : 2016-04-07
Category : Technology & Engineering
ISBN : 0128025999

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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

Image Processing for the Food Industry

Author : E. R. Davies
Publisher : World Scientific
Page : 314 pages
File Size : 26,84 MB
Release : 2000
Category : Computers
ISBN : 9789810240226

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This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly. This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing images of food products.

Cereal Grains for the Food and Beverage Industries

Author : Elke K Arendt
Publisher : Elsevier
Page : 519 pages
File Size : 20,21 MB
Release : 2013-04-09
Category : Technology & Engineering
ISBN : 0857098926

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Cereals are a staple of the human diet and have a significant effect on health. As a result, they are of major significance to the food industry. Cereal grains for the food and beverage industries provides a comprehensive overview of all of the important cereal and pseudo-cereal species, from their composition to their use in food products.The book reviews the major cereal species, starting with wheat and triticale before covering rye, barley and oats. It goes on to discuss other major species such as rice, maize, sorghum and millet, as well as pseudo-cereals such as buckwheat, quinoa and amaranth. Each chapter reviews grain structure, chemical composition (including carbohydrate and protein content), processing and applications in food and beverage products.Cereal grains for the food and beverage industries is an essential reference for academic researchers interested in the area of cereal grains and products. It is also an invaluable reference for professionals in the food and beverage industry working with cereal products, including ingredient manufacturers, food technologists, nutritionists, as well as policy-makers and health care professionals. A comprehensive overview of all of the important cereal and pseudo-cereal species Chapters review each of the following species: Wheat, Maize, Rice, Barley, Triticale, Rye, Oats, Sorghum, Millet, Teff, Buckwheat, Quinoa and Amaranth Reviews grain structure, chemical composition, processing and applications in food and beverage products for each of the considered grains

Open Innovation in the Food and Beverage Industry

Author : Marian Garcia Martinez
Publisher : Elsevier
Page : 438 pages
File Size : 21,85 MB
Release : 2013-01-22
Category : Technology & Engineering
ISBN : 0857097245

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Food and beverage companies are increasingly choosing to enhance internal idea development by pursuing an ‘open innovation’ approach, allowing the additional exploitation of external ideas and paths to market. Drawing on a range of important case studies, Open innovation in the food and beverage industry investigates the challenges and opportunities afforded by the incorporation of open innovation into the food industry. Part one provides a comprehensive overview of the changing nature of innovation in the food and drink industry, acknowledging trends and considering the implications and impact of open innovation. Part two then reviews the role of partners and networks in open innovation, with collaboration, co-creation of value with consumers, the effectiveness of cluster organizations and the importance of network knowledge all discussed, before part three goes on to explore the establishment and varied management aspects of open innovation partnerships and networks. Finally, open-innovation tools, processes and managerial frameworks are the focus of part four, with discussion of the development, application and psychology of a range of initiatives. With its distinguished editor and international team of expert contributors, Open innovation in the food and beverage industry is a unique guide to the implementation and management of open innovation for all food industry professionals involved in management, research and product development, as well as academics with an interest in open innovation across all industries. Investigates the challenges and opportunities afforded by the incorporation of open innovation into the food industry Provides a comprehensive overview of the changing nature of innovation in the food and drink industry and reviews the role of partners and networks in open innovation Explores the establishment and varied management aspects of open innovation partnerships and networks and discusses the development, application and psychology of a range of initiatives

Soft Computing in Smart Manufacturing

Author : Tatjana Sibalija
Publisher : Walter de Gruyter GmbH & Co KG
Page : 291 pages
File Size : 48,59 MB
Release : 2021-12-06
Category : Technology & Engineering
ISBN : 3110693224

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This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.