Download Artificial Intelligence A Real Opportunity In The Food Industry full books in PDF, epub, and Kindle. Read online Artificial Intelligence A Real Opportunity In The Food Industry ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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.
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.
The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.
Book Synopsis Artificial Intelligence for Medicine by : Yoshiki Oshida
Download or read book Artificial Intelligence for Medicine written by Yoshiki Oshida and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-11 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Book Synopsis Artificial Intelligence by : Harvard Business Review
Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
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.
Book Synopsis Food Production, Diversity, and Safety Under Climate Change by : Rakhi Chakraborty
Download or read book Food Production, Diversity, and Safety Under Climate Change written by Rakhi Chakraborty and published by Springer Nature. This book was released on with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.
Book Synopsis Sensing and Artificial Intelligence Solutions for Food Manufacturing by : Daniel Hefft
Download or read book Sensing and Artificial Intelligence Solutions for Food Manufacturing written by Daniel Hefft and published by CRC Press. This book was released on 2023-03-31 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.
When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.
Book Synopsis Machine Learning for Healthcare Applications by : Sachi Nandan Mohanty
Download or read book Machine Learning for Healthcare Applications written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.
Book Synopsis Artificial Intelligence Applications in Agriculture and Food Quality Improvement by : Khan, Mohammad Ayoub
Download or read book Artificial Intelligence Applications in Agriculture and Food Quality Improvement written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2022-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.
