Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Sensing And Artificial Intelligence Solutions For Food Manufacturing
Download Sensing And Artificial Intelligence Solutions For Food Manufacturing full books in PDF, epub, and Kindle. Read online Sensing And Artificial Intelligence Solutions For Food Manufacturing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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.
Book Synopsis Handbook of Agricultural Biotechnology, Volume 5 by : Charles Oluwaseun Adetunji
Download or read book Handbook of Agricultural Biotechnology, Volume 5 written by Charles Oluwaseun Adetunji and published by John Wiley & Sons. This book was released on 2024-10-22 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Multidisciplinary Applications of Marine Resources by : Mohd Rafatullah
Download or read book Multidisciplinary Applications of Marine Resources written by Mohd Rafatullah and published by Springer Nature. This book was released on with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety by : Zhiming Guo
Download or read book Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety written by Zhiming Guo and published by Mdpi AG. This book was released on 2023-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Dye Pollution from Textile Industry by : Pardeep Singh
Download or read book Dye Pollution from Textile Industry written by Pardeep Singh and published by Springer Nature. This book was released on with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Marine Biomass by : Riti Thapar Kapoor
Download or read book Marine Biomass written by Riti Thapar Kapoor and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-17 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Sustainable Approach to Protective Nanocoatings by : Garg, Rajni
Download or read book Sustainable Approach to Protective Nanocoatings written by Garg, Rajni and published by IGI Global. This book was released on 2024-02-27 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Food Safety and Quality in the Global South by : Matthew Chidozie Ogwu
Download or read book Food Safety and Quality in the Global South written by Matthew Chidozie Ogwu and published by Springer Nature. This book was released on with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices by : Rajeev Tiwari
Download or read book Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices written by Rajeev Tiwari and published by Springer Nature. This book was released on 2023-03-25 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems.
Book Synopsis Artificial Intelligence and Data Science in Environmental Sensing by : Mohsen Asadnia
Download or read book Artificial Intelligence and Data Science in Environmental Sensing written by Mohsen Asadnia and published by Academic Press. This book was released on 2022-02-09 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Food Engineering Innovations Across the Food Supply Chain by : Pablo Juliano
Download or read book Food Engineering Innovations Across the Food Supply Chain written by Pablo Juliano and published by Academic Press. This book was released on 2021-12-05 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Book Synopsis Artificial Intelligence for Digitising Industry – Applications by : Ovidiu Vermesan
Download or read book Artificial Intelligence for Digitising Industry – Applications written by Ovidiu Vermesan and published by CRC Press. This book was released on 2022-09-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Food Technology Disruptions by : Charis M. Galanakis
Download or read book Food Technology Disruptions written by Charis M. Galanakis and published by Academic Press. This book was released on 2021-01-20 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Robotics and Automation in the Food Industry by : Darwin G Caldwell
Download or read book Robotics and Automation in the Food Industry written by Darwin G Caldwell and published by Elsevier. This book was released on 2012-12-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis The 10 Most Innovative AI Companies to Watch in 2022 by : Tycoon Success
Download or read book The 10 Most Innovative AI Companies to Watch in 2022 written by Tycoon Success and published by Tycoon Success. This book was released on 2022-04-13 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Agri-Food 4.0 written by Rahul S. Mor and published by Emerald Group Publishing. This book was released on 2022-03-28 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
