Sensing And Artificial Intelligence Solutions For Food Manufacturing
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Sensing and Artificial Intelligence Solutions for Food Manufacturing by Daniel Hefft,Charles Oluwaseun Adetunji Pdf
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.
Artificial Intelligence Applications in Agriculture and Food Quality Improvement by Khan, Mohammad Ayoub,Khan, Rijwan,Praveen, Pushkar Pdf
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.
Marine Biomass by Riti Thapar Kapoor,Mohd Rafatullah,Norli Ismail Pdf
Ocean plays a significant role in energy production, human health and economy. Seawater, seaweed, microalgae, yeast, bacteria act as feedstock for biofuels and bioproducts. This book focuses on the application of marine biomass for production of energy, fertilizers, nutraceuticals, pharmaceuticals, cosmetics, bioplastics and other value-added products. It presents technological advancements and optimization strategies for enhancing process efficiency, overcoming challenges and maximizing the potential of marine-based biorefinery. It also describes how marine resources can be applied to wastewater treatment, eco-restoration, environment protection and sustainable development.
Sustainable Approach to Protective Nanocoatings by Garg, Rajni,Anjum, Ansar Pdf
It is essential to harness the potential of nanotechnology in a rapidly evolving industrial environment. As industries grapple with the demand for more advanced, efficient, and sustainable solutions, the intricate amalgamation of chemistry, materials science, physics, biology, and technology in nanotechnology emerges as both a beacon of promise and a complex puzzle. The groundbreaking book, Sustainable Approach to Protective Nanocoatings, serves as a transformative solution. Tailored for academic scholars seeking comprehensive insights, this book navigates the labyrinth of nanotechnology with precision, offering a roadmap for leveraging nanostructured materials and coatings to meet the demands of the modern industrial world. By seamlessly weaving together the intricate tapestry of research methodologies, applications, and technological advances, the book emerges as an indispensable resource for those poised at the intersection of academia and industry.
Food Engineering Innovations Across the Food Supply Chain by Pablo Juliano,Kai Knoerzer,Jay Sellahewa,Minh H. Nguyen,Roman Buckow Pdf
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)
Artificial Intelligence for Digitising Industry – Applications by Ovidiu Vermesan Pdf
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.
This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.
The 10 Most Innovative AI Companies to Watch in 2022 by Tycoon Success Pdf
The 10 most innovative AI companies to watch in 2022, with an introduction to each company's innovative technology & what it looks like in the real world.
Artificial Intelligence: A Real Opportunity in the Food Industry by Aboul Ella Hassanien,Mona Soliman Pdf
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.
Food Technology Disruptions by Charis M. Galanakis Pdf
Food Technology Disruptions covers the latest disruptions in the food industry, such as the Internet of Things, digital technologies, modern applications like 3D printing, bacterial sensors in food packaging, electronic noses for food authentication, and artificial intelligence. With additional discussions on innovative distribution and delivery of food and consumer acceptance of food disruptions, this book is an essential resource for food scientists, technologists, engineers, agriculturalists, chemists, product developers, researchers, academics and professionals working in the food industry. While innovations play an important role in food production, disruptive technologies are a revolutionary type of innovation that can displace an established technology and shake up the industry...or create a completely new industry. Currently, digital technologies and smart applications lead innovations in the food sector in order to optimize the food supply chain and to develop and deliver tailor-made food products to consumers with new eating habits. Covers digital technologies in agriculture, food production and food processing, modern eating habits, personalized nutrition, and relevant innovative food products Brings alternative protein sources, novel functional foods and artificial meat Discusses the Internet of Things, digital technologies and modern applications like 3D printing, smart packaging and smart food distribution
Innovations in Engineering and Food Science by Mehta, Shilpa,Islam, Fakhar,Imran, Ali Pdf
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.
Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety by Zhiming Guo,Zhao Zhang,Dong Hu Pdf
Fast, non-destructive detection technology and equipment for food quality and safety is a powerful technical support tool to ensure the development of food industry informatization and intelligence, with the advantages of fast speed, convenient operation, and easy online inspection. During the past two decades, such technologies have found numerous successful applications for food and agricultural product detection and processing. Owing to improvements in the manufacturing of photoelectric sensor pieces and progress in artificial intelligence and software algorithms, fast non-destructive detection technologies are able to provide more accurate, reliable, and stable solutions for food quality and safety detection and processing. They are closely integrated with the Internet of Things and intelligent manufacturing, promoting a new wave of innovation in intelligent manufacturing in the food industry. The application of new sensing technology and equipment in the fast, non-destructive detection of food has always been at the forefront of scientific and technological research. This Special Issue aims to focus on the latest research progress of this application and jointly discuss the focus of development of this research direction.
Current Developments in Biotechnology and Bioengineering by Ayon Tarafdar,Ashok Pandey,Ranjna Sirohi,Carlos Ricardo Soccol,Claude-Gilles Dussap Pdf
Advances in Food Engineering, the latest release in the Current Developments in Biotechnology and Bioengineering series, is a unique source of state-of-art information about scientific and technological advances in food engineering. The book gives specific understanding of the engineering properties of food materials such as the morphological, physic-chemical, nutritional, thermal and organoleptic characteristics of food products. It covers food processing and preservation methods such as pressure, light, electromagnetic, sound and heat based and also the use of artificial intelligence-based machineries, intelligent control systems, Internet of Things (IoT) and Blockchain for food security traceability. Reviews technological advancements in food engineering Includes applications of emerging thermal, non-thermal and intelligent techniques/systems in the field of food processing, food supply chain and food analysis Presents innovative approaches like artificial intelligence in food engineering Provides comprehensive and integrated details in food processing/engineering/analysis while also helping users understand covered concepts
Artificial Neural Networks in Food Processing by Mohamed Tarek Khadir Pdf
Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.