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Imagine eating a burger grown in a laboratory, a strawberry picked by a robot, or a pastry created with a 3-D printer. You would never taste the difference, but these technologies might just save your health and the planet’s. Today, landmark advances in computing, engineering, and medicine are driving solutions to the biggest problems created by industrialized food. Tech to Table introduces readers to twenty-five of the most creative entrepreneurs advancing these solutions. They come from various places and professions, identities and backgrounds. But they share an outsider’s perspective and an idealistic, sometimes aggressive, ambition to rethink the food system. Reinvention is desperately needed. Under Big Ag, pollution, climate change, animal cruelty, hunger, and obesity have festered, and despite decades of effort, organic farming accounts for less than one percent of US croplands. Entrepreneurs represent a new path, one where disruptive technology helps people and the environment. These innovations include supplements to lower the methane in cattle belches, drones that monitor irrigation levels in crops, urban warehouses that grow produce year-round, and more. The pace and breadth of change is astonishing, as investors pump billions of dollars into ag-innovation. Startups are attracting capital and building markets, with the potential to upend conventional agribusiness’s stranglehold on the food system. Not every invention will prosper long-term, but each marks a fundamental change in our approach to feeding a growing population—sustainably. A revolution in how we grow and eat food is brewing. Munson’s deftly crafted profiles offer a fascinating preview of the coming future of food.
Imagine eating a burger grown in a laboratory, a strawberry picked by a robot, or a pastry created with a 3-D printer. You would never taste the difference, but these inventions might just save your health and the planet's. Today, landmark technological advances are driving solutions to the biggest problems created by industrialized food. Tech to Table introduces readers to twenty-five of the most creative entrepreneurs innovating these solutions. They come from various places and professions, identities and backgrounds. But they share an outsider's perspective and an idealistic, often disruptive, ambition to reinvent the food system. The pace and breadth of change is astonishing, as investors pump billions of dollars into ag-tech. Not every innovator will prosper long-term, but each marks a fundamental change in our approach to feeding a growing population--sustainably.
The first edition of Food processing technology was quickly adopted as the standard text by many food science and technology courses. This completely revised and updated third edition consolidates the position of this textbook as the best single-volume introduction to food manufacturing technologies available. This edition has been updated and extended to include the many developments that have taken place since the second edition was published. In particular, advances in microprocessor control of equipment, ‘minimal’ processing technologies, functional foods, developments in ‘active’ or ‘intelligent’ packaging, and storage and distribution logistics are described. Technologies that relate to cost savings, environmental improvement or enhanced product quality are highlighted. Additionally, sections in each chapter on the impact of processing on food-borne micro-organisms are included for the first time. Introduces a range of processing techniques that are used in food manufacturing Explains the key principles of each process, including the equipment used and the effects of processing on micro-organisms that contaminate foods Describes post-processing operations, including packaging and distribution logistics
Technology and Health: Promoting Attitude and Behavior Change examines how technology can be used to promote healthier attitudes and behavior. The book discusses technology as a tool to deliver media content. This book synthesizes theory-driven research with implications for research and practice. It covers a range of theories and technology in diverse health contexts. The book covers why and how specific technologies, such as virtual reality, augmented reality, mobile games, and social media, are effective in promoting good health. The book additionally suggests how technology should be designed, utilized, and evaluated for health interventions. Includes new technologies to improve both mental and physical health Examines technologies in relation to cognitive change Discusses persuasion as a tool for behavioral and attitudinal changes Provides theoretical frameworks for the effective use of technology
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.
Feeding our globally expanding population is one of the most critical challenges of our time and improving food and agricultural production efficiencies is a key factor in solving this problem. Currently, one-third of food produced for humans is wasted, and for every pound of food produced, roughly an equal amount of nonfood by-product is also generated, creating a significant environmental impact. In Integrated Processing Technologies for Food and Agricultural By-Products experts from around the world present latest developments, recognizing that while some by-products have found use as animal feed or are combusted for energy, new technologies which integrate conversion of production and processing by-products into higher-value food or nonfood products, nutraceuticals, chemicals, and energy resources will be a critical part of the transition to a more sustainable food system. Organized by agricultural crop, and focusing on those crops with maximum economic impact, each chapter describes technologies for value-added processing of by-products which can be integrated into current food production systems. Integrated Processing Technologies for Food and Agricultural By-Products is a valuable resource for industry professionals, academics, and policy-makers alike. Provides production-through-processing coverage of key agricultural crops for a thorough understanding and translational inspiration Describes and discusses major by-product sources, including physical and chemical biomass characterizations and associated variability in detail Highlights conversions accomplished through physical, biological, chemical, or thermal methods and demonstrates examples of those technologies
The past 30 years have seen the establishment of food engineering both as an academic discipline and as a profession. Combining scientific depth with practical usefulness, this book serves as a tool for graduate students as well as practicing food engineers, technologists and researchers looking for the latest information on transformation and preservation processes as well as process control and plant hygiene topics. Strong emphasis on the relationship between engineering and product quality/safety Links theory and practice Considers topics in light of factors such as cost and environmental issues
Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies