AI in Food Industry for Food Products Quality Inspection

AI in Food Industry for Food Products Quality Inspection

Author: Dr Syeda Sumera Ali

Publisher: Blue Rose Publishers

Published: 2022-05-24

Total Pages: 149

ISBN-13:

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Artificial Intelligence (AI) is a branch of science & engineering that deals with machine learning (ML) and Deep Learning (DL) are the commonly used algorithms in the field of Artificial Intelligence namely. Models learn from data available and used by customers, government agencies & companies for sake of analysis. In food industries, the design of standard reliable procedures to inspect & control the quality of products is a major objective. The deployment of AI to achieve better customer experience, supply chain, management, improve operational efficiency, reduction in material movements , vehicle activity, and better results in the business . Automation in the food industry for sake of control a process at optimum level, reducing costs & time, monitor food processing, minimize the error, respond to production issues, safety, tracking & improving quality . AI has various applications includes sorting fresh produce, effective cleaning, consumer preference, saving time and resources.


Book Synopsis AI in Food Industry for Food Products Quality Inspection by : Dr Syeda Sumera Ali

Download or read book AI in Food Industry for Food Products Quality Inspection written by Dr Syeda Sumera Ali and published by Blue Rose Publishers. This book was released on 2022-05-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a branch of science & engineering that deals with machine learning (ML) and Deep Learning (DL) are the commonly used algorithms in the field of Artificial Intelligence namely. Models learn from data available and used by customers, government agencies & companies for sake of analysis. In food industries, the design of standard reliable procedures to inspect & control the quality of products is a major objective. The deployment of AI to achieve better customer experience, supply chain, management, improve operational efficiency, reduction in material movements , vehicle activity, and better results in the business . Automation in the food industry for sake of control a process at optimum level, reducing costs & time, monitor food processing, minimize the error, respond to production issues, safety, tracking & improving quality . AI has various applications includes sorting fresh produce, effective cleaning, consumer preference, saving time and resources.

Artificial Intelligence: A Real Opportunity in the Food Industry

Artificial Intelligence: A Real Opportunity in the Food Industry

Author: Aboul Ella Hassanien

Publisher: Springer Nature

Published: 2022-11-03

Total Pages: 155

ISBN-13: 3031137027

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This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.


Book Synopsis Artificial Intelligence: A Real Opportunity in the Food Industry by : Aboul Ella Hassanien

Download or read book Artificial Intelligence: A Real Opportunity in the Food Industry written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2022-11-03 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.

AI in Food Industry for Food Products Quality Inspection

AI in Food Industry for Food Products Quality Inspection

Author: Syeda Sumera Ali

Publisher: Bluerose Publisher

Published: 2022-05-26

Total Pages: 0

ISBN-13: 9789356112476

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Artificial Intelligence (AI) is a branch of science & engineering that deals with machine learning (ML) and Deep Learning (DL) are the commonly used algorithms in the field of Artificial Intelligence namely. Models learn from data available and used by customers, government agencies & companies for sake of analysis. In food industries, the design of standard reliable procedures to inspect & control the quality of products is a major objective. The deployment of AI to achieve better customer experience, supply chain, management, improve operational efficiency, reduction in material movements, vehicle activity, and better results in the business . Automation in the food industry for sake of control a process at optimum level, reducing costs & time, monitor food processing, minimize the error, respond to production issues, safety, tracking & improving quality . AI has various applications includes sorting fresh produce, effective cleaning, consumer preference, saving time and resources.


Book Synopsis AI in Food Industry for Food Products Quality Inspection by : Syeda Sumera Ali

Download or read book AI in Food Industry for Food Products Quality Inspection written by Syeda Sumera Ali and published by Bluerose Publisher. This book was released on 2022-05-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a branch of science & engineering that deals with machine learning (ML) and Deep Learning (DL) are the commonly used algorithms in the field of Artificial Intelligence namely. Models learn from data available and used by customers, government agencies & companies for sake of analysis. In food industries, the design of standard reliable procedures to inspect & control the quality of products is a major objective. The deployment of AI to achieve better customer experience, supply chain, management, improve operational efficiency, reduction in material movements, vehicle activity, and better results in the business . Automation in the food industry for sake of control a process at optimum level, reducing costs & time, monitor food processing, minimize the error, respond to production issues, safety, tracking & improving quality . AI has various applications includes sorting fresh produce, effective cleaning, consumer preference, saving time and resources.

Impactful Technologies Transforming the Food Industry

Impactful Technologies Transforming the Food Industry

Author: Ayd?n, ?ule

Publisher: IGI Global

Published: 2023-08-25

Total Pages: 362

ISBN-13: 166849096X

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In today's rapidly evolving world, technology has permeated every aspect of our lives, and the culinary world is no exception.Impactful Technologies Transforming the Food Industry delves into the revolutionary role of technology in transforming the way we produce, prepare, and experience food. From restaurant operations to the dining experience and the rise of food delivery services, this book explores the profound impact of technology on the food industry. Impactful Technologies Transforming the Food Industry provides an in-depth exploration of the objectives, motivations, and consequences associated with the adoption of technology in the food industry through meticulous analysis and real-world examples. From advanced ordering systems and kitchen automation to virtual reality and interactive dining experiences, readers gain valuable insights into how technology has revolutionized the way food businesses operate and how it has reshaped the relationship between consumers and food. This book also addresses the emergence of food delivery services, the ethical considerations of technology in the industry, and the potential future trajectory of food tech. It is an essential resource for food industry professionals, students, policymakers, and consumers interested in the intersection of gastronomy and technology.


Book Synopsis Impactful Technologies Transforming the Food Industry by : Ayd?n, ?ule

Download or read book Impactful Technologies Transforming the Food Industry written by Ayd?n, ?ule and published by IGI Global. This book was released on 2023-08-25 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving world, technology has permeated every aspect of our lives, and the culinary world is no exception.Impactful Technologies Transforming the Food Industry delves into the revolutionary role of technology in transforming the way we produce, prepare, and experience food. From restaurant operations to the dining experience and the rise of food delivery services, this book explores the profound impact of technology on the food industry. Impactful Technologies Transforming the Food Industry provides an in-depth exploration of the objectives, motivations, and consequences associated with the adoption of technology in the food industry through meticulous analysis and real-world examples. From advanced ordering systems and kitchen automation to virtual reality and interactive dining experiences, readers gain valuable insights into how technology has revolutionized the way food businesses operate and how it has reshaped the relationship between consumers and food. This book also addresses the emergence of food delivery services, the ethical considerations of technology in the industry, and the potential future trajectory of food tech. It is an essential resource for food industry professionals, students, policymakers, and consumers interested in the intersection of gastronomy and technology.

Computer Vision Technology for Food Quality Evaluation

Computer Vision Technology for Food Quality Evaluation

Author: Da-Wen Sun

Publisher: Elsevier

Published: 2011-04-28

Total Pages: 600

ISBN-13: 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.


Book Synopsis Computer Vision Technology for Food Quality Evaluation by : Da-Wen Sun

Download or read book Computer Vision Technology for Food Quality Evaluation written by Da-Wen Sun and published by Elsevier. This book was released on 2011-04-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Biologist’s Guide to Artificial Intelligence

A Biologist’s Guide to Artificial Intelligence

Author: Ambreen Hamadani

Publisher: Elsevier

Published: 2024-03-15

Total Pages: 370

ISBN-13: 0443240000

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A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence


Book Synopsis A Biologist’s Guide to Artificial Intelligence by : Ambreen Hamadani

Download or read book A Biologist’s Guide to Artificial Intelligence written by Ambreen Hamadani and published by Elsevier. This book was released on 2024-03-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence

Image Processing for the Food Industry

Image Processing for the Food Industry

Author: E R Davies

Publisher: World Scientific

Published: 2000-05-11

Total Pages: 312

ISBN-13: 9814494410

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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. Contents:Image Processing Methodology:Images and Image ProcessingShape AnalysisFeature Detection and Object LocationTextureThree-Dimensional ProcessingPattern RecognitionApplication to Food Production:Inspection and Inspection ProceduresInspection of Baked ProductsCereal Grain InspectionX-Ray InspectionImage Processing in AgricultureVision for Fish and Meat ProcessingSystem Design ConsiderationsFood Processing for the Millennium Readership: Researchers and practitioners in image processing and computer vision. Keywords:Machine Vision;Image Processing;Food and Cereals Inspection;Image Acquisition and Illumination;X-Ray Inspection;Insect Detection;Baked Products;Agriculture;Due Diligence


Book Synopsis Image Processing for the Food Industry by : E R Davies

Download or read book Image Processing for the Food Industry written by E R Davies and published by World Scientific. This book was released on 2000-05-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents:Image Processing Methodology:Images and Image ProcessingShape AnalysisFeature Detection and Object LocationTextureThree-Dimensional ProcessingPattern RecognitionApplication to Food Production:Inspection and Inspection ProceduresInspection of Baked ProductsCereal Grain InspectionX-Ray InspectionImage Processing in AgricultureVision for Fish and Meat ProcessingSystem Design ConsiderationsFood Processing for the Millennium Readership: Researchers and practitioners in image processing and computer vision. Keywords:Machine Vision;Image Processing;Food and Cereals Inspection;Image Acquisition and Illumination;X-Ray Inspection;Insect Detection;Baked Products;Agriculture;Due Diligence

Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance

Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance

Author: Sachin S. Kamble

Publisher: Springer Nature

Published: 2023-02-03

Total Pages: 266

ISBN-13: 3031197119

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This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey.


Book Synopsis Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance by : Sachin S. Kamble

Download or read book Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance written by Sachin S. Kamble and published by Springer Nature. This book was released on 2023-02-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey.

Innovations in Engineering and Food Science

Innovations in Engineering and Food Science

Author: Mehta, Shilpa

Publisher: IGI Global

Published: 2024-01-17

Total Pages: 445

ISBN-13:

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As the global population continues to grow, the depletion of Earth's resources poses a significant challenge in ensuring food security for current and future generations. This book addresses this pressing issue by presenting innovative strategies and methods to reduce food loss, enhance production, identify alternative ingredients, and digitize the food system. It explores topics like the circular economy, cellular agriculture, artificial intelligence in food production, and novel sources of ingredients like microalgae and insects. Engineers play a pivotal role in translating ideas into tangible products and services that enhance human lives. Innovations in Engineering and Food Science is a comprehensive guide that explores the latest advancements, technologies, challenges, and solutions in the domains of engineering and food science. This book delves into the integration of cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Quantum Computing, and Virtual and Augmented Reality, showcasing their potential to revolutionize the engineering landscape. With a focus on emerging technologies and practical solutions, this book serves as a valuable resource for researchers, students, academicians, and professionals in these fields.


Book Synopsis Innovations in Engineering and Food Science by : Mehta, Shilpa

Download or read book Innovations in Engineering and Food Science written by Mehta, Shilpa and published by IGI Global. This book was released on 2024-01-17 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the global population continues to grow, the depletion of Earth's resources poses a significant challenge in ensuring food security for current and future generations. This book addresses this pressing issue by presenting innovative strategies and methods to reduce food loss, enhance production, identify alternative ingredients, and digitize the food system. It explores topics like the circular economy, cellular agriculture, artificial intelligence in food production, and novel sources of ingredients like microalgae and insects. Engineers play a pivotal role in translating ideas into tangible products and services that enhance human lives. Innovations in Engineering and Food Science is a comprehensive guide that explores the latest advancements, technologies, challenges, and solutions in the domains of engineering and food science. This book delves into the integration of cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Quantum Computing, and Virtual and Augmented Reality, showcasing their potential to revolutionize the engineering landscape. With a focus on emerging technologies and practical solutions, this book serves as a valuable resource for researchers, students, academicians, and professionals in these fields.

Quality Control in the Food Industry V1

Quality Control in the Food Industry V1

Author: S Herschdoerfer

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 404

ISBN-13: 0323152066

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Quality Control in the Food Industry, Volume 1 focuses on the general aspects of quality control in the food industry, emphasizing the controllable factors that affect the quality of the finished product, including the selection of raw materials, processing methods, packaging, storage, and distribution. The book describes the principles of quality control and some important concepts such as sensory assessment and statistical approaches, along with food standards and health problems in quality control. This volume is organized into six chapters and begins with an overview of the application, organization, related problems, techniques, and prospects of quality control. The next chapters focus on the chemical and microbiological aspects of health problems in quality control; fundamental concepts in statistics as applied to quality control from sampling to the estimation of ingredients; and taste testing as an approach to quality control of processed foods. The book concludes by considering the importance, limitations, and problems associated with food standards, with special reference to their international aspects. This book will be of interest to food scientists and technologists, managers in the food industry, and students.


Book Synopsis Quality Control in the Food Industry V1 by : S Herschdoerfer

Download or read book Quality Control in the Food Industry V1 written by S Herschdoerfer and published by Elsevier. This book was released on 2012-12-02 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality Control in the Food Industry, Volume 1 focuses on the general aspects of quality control in the food industry, emphasizing the controllable factors that affect the quality of the finished product, including the selection of raw materials, processing methods, packaging, storage, and distribution. The book describes the principles of quality control and some important concepts such as sensory assessment and statistical approaches, along with food standards and health problems in quality control. This volume is organized into six chapters and begins with an overview of the application, organization, related problems, techniques, and prospects of quality control. The next chapters focus on the chemical and microbiological aspects of health problems in quality control; fundamental concepts in statistics as applied to quality control from sampling to the estimation of ingredients; and taste testing as an approach to quality control of processed foods. The book concludes by considering the importance, limitations, and problems associated with food standards, with special reference to their international aspects. This book will be of interest to food scientists and technologists, managers in the food industry, and students.