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Author: Daniel Hefft
Publisher: CRC Press
ISBN: 1000844498
Category : Computers
Languages : en
Pages : 194
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Book Description
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.
Author: Daniel Hefft
Publisher: CRC Press
ISBN: 1000844498
Category : Computers
Languages : en
Pages : 194
Get Book Here
Book Description
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.
Author: Darwin G Caldwell
Publisher: Elsevier
ISBN: 0857095765
Category : Technology & Engineering
Languages : en
Pages : 527
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Book Description
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
Author: Mohsen Asadnia
Publisher: Academic Press
ISBN: 0323905072
Category : Computers
Languages : en
Pages : 326
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Book Description
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. - Presents tools, connections and proactive solutions to take sustainability programs to the next level - Offers a practical guide for making students proficient in modern electronic data analysis and graphics - Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery
Author: Rahul S. Mor
Publisher: Emerald Group Publishing
ISBN: 1801174989
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
Agri-Food 4.0: Innovations, Challenges and Strategies addresses new research on digital technologies in the Agri-Food industry, including smart packaging, smart warehousing, effective inventory control, blockchain technology, artificial intelligence, and other Industry 4.0 concepts.
Author: Charles Oluwaseun Adetunji
Publisher: John Wiley & Sons
ISBN: 139421149X
Category : Technology & Engineering
Languages : en
Pages : 596
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Book Description
This book details recent advances in the applications of nanobiofertilizers as a substitute for synthetic fertilizers in boosting food production. With the steady rise of the world’s population, there is a need to increase the production of safe and nutritious food. The constant loss of arable land, as a result of various anthropogenic activities from human action, has become a threat to global biodiversity and ecosystems. Additionally, the issue of climate change has imposed many obstacles to increasing agricultural productivity, especially from biotic and abiotic stressors and temperature-limited environments, such as in high altitudes or seasonally hot regions. Because of these factors, there is a need to adopt sustainable and modern technologies that can boost and improve the rate of food production. One of the cheapest means of enhancing sustainable food production is to explore natural and unlimited beneficial microorganisms, particularly those that can increase the level of soil fertility, improve crop production and health, improve tolerance to stress, support nutrient uptake and availability, and boost natural biodiversity. The synergetic effect of nanotechnology and beneficial microorganisms for the effective bio-fabrication of nanobiofertilizers, is a sustainable solution for producing pesticide-free food. This book provides a deep insight into microbial diversity, recent techniques used for the isolation, screening, and characterization of beneficial microorganisms with eco-friendly attributes, used for bioengineering of nanobiofertilizers, as well as the application of proteomics, metabolomics, genomics, and bioinformatics. The book also covers commercialization, patents, and the business and socio-economic aspects of nanobiofertilizers, as well as the role of policymakers, stakeholders, and government agencies in the translation of nanobioferilizer research into policy. Audience The book is a useful resource for a diverse audience, including industrialists, food industry professionals, agriculturists, agricultural microbiologists, plant pathologists, botanists, microbiologists, biotechnologists, nanotechnologists, microbial biotechnologists, farmers, policymakers, and extension workers.
Author: Mehta, Shilpa
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 560
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Book Description
As industries evolve, the demand for innovative solutions intensifies, yet challenges persist in harnessing the full potential of edible electronics (EE). From navigating complex interdisciplinary landscapes to overcoming material limitations and technological hurdles, researchers and professionals face a myriad of obstacles in realizing EE's promises. The lack of comprehensive resources further compounds these challenges, leaving many needing more guidance to navigate this dynamic field effectively. Edible Electronics for Smart Technology Solutions serves as a beacon of knowledge and practical insights for those navigating the complexities of EE. This comprehensive guide offers a holistic approach, addressing critical issues such as energy harvesting, materials development, and technological integration. By identifying emerging trends and promoting cutting-edge solutions, the book equips readers with the tools and strategies to overcome challenges and drive innovation.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Ovidiu Vermesan
Publisher: CRC Press
ISBN: 1000794318
Category : Medical
Languages : en
Pages : 435
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Book Description
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.
Author: Charles Oluwaseun Adetunji
Publisher: Elsevier
ISBN: 0443139989
Category : Technology & Engineering
Languages : en
Pages : 658
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Book Description
Chitosan-Based Nanoparticles for Biomedical Applications explores the use of chitosan-based nanoparticles as a sustainable solution for the development of improved therapeutic and diagnostic techniques. A range of biomedical applications is reviewed, including treatment against highly resistant bacteria and parasites; tissue regeneration; drug delivery, and more. Moreover, the application of chitosan-based nanoparticles for the effective delivery of hormones, vaccines, phytochemicals, nutraceuticals, and their application in immobilization of enzymes is also discussed in detail. This book provides a state-of-the-art overview for materials scientists, pharmaceutical scientists, and researchers with an interest in the development of novel materials for therapeutics. - Provides a comprehensive overview of chitosan-based nanoparticles, from extraction, synthesis and characterization to biomedical applications, clinical trials and toxicological considerations - Covers a range of biomedical applications, including nutraceuticals, wound healing, antimicrobial treatment, cancer therapeutics, and more - Utilizes an interdisciplinary approach, combining materials science, biochemistry, and bioscience inputs to appeal to a broad audience
Author: Pablo Juliano
Publisher: Academic Press
ISBN: 0323853595
Category : Technology & Engineering
Languages : en
Pages : 518
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Book Description
Food Engineering Innovations Across the Food Supply Chain discusses the technology advances and innovations into industrial applications to improve supply chain sustainability and food security. The book captures the highlights of the 13th International Congress of Engineering ICEF13 under selected congress themes, including Sustainable Food Systems, Food Security, Advances in Food Process Engineering, Novel Food Processing Technologies, Food Process Systems Engineering and Modeling, among others. Edited by a team of distinguished researchers affiliated to CSIRO, this book is a valuable resource to all involved with the Food Industry and Academia. Feeding the world's population with safe, nutritious and affordable foods across the globe using finite resources is a challenge. The population of the world is increasing. There are two opposed sub-populations: those who are more affluent and want to decrease their caloric intake, and those who are malnourished and require more caloric and nutritional intake. For sustainable growth, an increasingly integrated systems approach across the whole supply chain is required. - Focuses on innovation across the food supply chain beyond the traditional food engineering discipline - Brings the integration of on-farm with food factory operations, the inclusion of Industry 4.0 sensing technologies and Internet of Things (IoT) across the food chain to reduce food wastage, water and energy inputs - Makes a full intersection into other science domains (operations research, informatics, agriculture and agronomy, machine learning, artificial intelligence and robotics, intelligent packaging, among others)
