Addressing Environmental Challenges With Ai Robotics And Augmented Reality
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Addressing Environmental Challenges With AI, Robotics, and Augmented Reality
Addressing environmental challenges requires innovative, interdisciplinary solutions using technologies like artificial intelligence (AI), robotics, and augmented reality (AR). These advanced tools enhance monitoring and response to environmental changes while enabling proactive intervention strategies across ecosystems, industries, and communities. From AI-driven climate modeling and robotic reforestation to AR-enhanced environmental education and disaster response, these technologies reshape the understanding and protection of the natural world. Further research into issues like climate change, pollution, and biodiversity loss, may improve the integration of AI, robotics, and AR to offer a path toward sustainability. Addressing Environmental Challenges With AI, Robotics, and Augmented Reality explores the transformative role of emerging technologies in advancing sustainable development. It examines how innovations such as robotics, blockchain, AI, and augmented reality shape industries, addressing environmental challenges, and contributing to the achievement of the United Nations' Sustainable Development Goals (SDGs). This book covers topics such as policymaking, smart cities, and electric vehicles, and is a useful resource for engineers, government officials, urban developers, academicians, researchers, and environmental scientists.
AI Applications in Food Processing and Packaging
Author: Ashutosh Kumar Shukla
language: en
Publisher: Royal Society of Chemistry
Release Date: 2025-06-27
Artificial intelligence (AI) is a branch of computer science which uses data to create models. These models learn from data and are used to make predictions. AI tools are being developed to deal with the complexity and variety of data in the food industry. This edited volume highlights the ways in which AI can be applied to optimization and automation in quality control, processing and packaging of food products. It covers a wide range of food products including oils and fats, milk, fish and fishery products. Filling the gap between literature covering conventional food processing and packaging and current research on AI linked to these areas, initial chapters highlight AI applications including the internet of things (IoT) and big data applications in the food industry. Then coverage details the intelligent integration of many technologies for different applications in the food industry for example non-destructive food quality assessment using digital images assisted by chemometrics, simulations to detect the existence of foreign objects in milk packaging using ultrasonic tomography and AI assisted 3D food printing. New advanced sensing technologies, including electronic noses and tongues, are discussed in detail emphasizing their role in ensuring food product quality and safety.
Topics in Artificial Intelligence Applied to Industry 4.0
Author: Mahmoud Ragab AL-Refaey
language: en
Publisher: John Wiley & Sons
Release Date: 2024-07-15
Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.