Uyiosa Osagie Aigbe – författare

This book highlights all the core aspects of the synthesis, characterization, and applications of biosorbents such as bionanocomposite, together with their recent advances in detail. Also, some new research and developments in biosorbents, such as bionanocomposite. It presents some of the recent principles of the synthesis, fabrication, and characterization of bionanocomposite and their applications, as well as some important tools and challenges associated with these techniques for engineers and scientists.

Hence, it is the first of its kind in the environmental and material science domain to explore a facile and all-inclusive approach to the applications of biosorbents such as bionanocomposite along with their future prospects and advantages.

**Key Features: **

Highlights the core aspects of the synthesis, characterization and applications of biosorbents such as bionanocomposite together with their recent advances in detail.

Provides some new research and developments in biosorbents such as bionanocomposites.

Due to the negative impacts of environmental contamination from mostly industrial activities, there is a great quest for timely and useful innovative ways to use biosorbents for the confiscation of these contaminants. Consequently, a basis for the development, use, and applications of magnetic biosorbents for adsorption employing various contaminants to achieve environmental sustainability and safety is thus anticipated to be provided by the book titled "Environmental Applications of Magnetic Sorbents." This book comprises ten (10) chapters that will particularly focus on advanced research in the use of timely and useful inspired techniques in the synthesis of novel magnetic biosorbents using facile synthesis methods, as well as the characterization and extensive applications of the synthesised magnetic biosorbents in the bioremediation and decontamination of contaminants. The application of magnetic sorbents in seed germination and their use in improving photovoltaic performance are also captured in this book. Also discussed in this book are the challenges and perspectives of magnetic sorbent applications for environmental sustainability.

Key Features:

Digital Twins, Artificial Intelligence, and Internet of Things for a Sustainable Food Production in Agriculture: Transformative Technologies looks at how advanced technologies like digital twins, artificial intelligence (AI), and the Internet of Things (IoT) can be used in farming.

The book discusses how these innovations enhance resource efficiency, support sustainable food systems, and improve crop and livestock management. Focusing on both the theoretical and practical applications, it provides readers with current insight into sustainable agricultural practices. It also offers insights into how digital twins, AI, and IoT are integrated into agriculture for sustainable food production. The book will cover how digital copies of farms, smart computers, AI, IoT, and connected devices help farmers optimize food production. It draws its strength from a multidisciplinary approach with an emphasis on practical applications and future prospects in smart agriculture toward improved efficiency, sustainability, and profitability in food production.

This book is suitable for a broad academic audience, including undergraduate and graduate students, researchers, and professionals in fields such as agricultural science, environmental science, computer science, and engineering, as well as policymakers and government functionaries. It is meant to be used as a textbook or additional reading for courses on precision farming, smart agriculture, and sustainable food systems. The content is designed to be understandable to people who have just a cursory understanding of technology and agriculture, but it also provides in-depth analysis for practitioners and advanced students.

Digital Twins, Artificial Intelligence, and Internet of Things for a Sustainable Food Production in Agriculture: Transformative Technologies looks at how advanced technologies like digital twins, artificial intelligence (AI), and the Internet of Things (IoT) can be used in farming.

The book discusses how these innovations enhance resource efficiency, support sustainable food systems, and improve crop and livestock management. Focusing on both the theoretical and practical applications, it provides readers with current insight into sustainable agricultural practices. It also offers insights into how digital twins, AI, and IoT are integrated into agriculture for sustainable food production. The book will cover how digital copies of farms, smart computers, AI, IoT, and connected devices help farmers optimize food production. It draws its strength from a multidisciplinary approach with an emphasis on practical applications and future prospects in smart agriculture toward improved efficiency, sustainability, and profitability in food production.

This book is suitable for a broad academic audience, including undergraduate and graduate students, researchers, and professionals in fields such as agricultural science, environmental science, computer science, and engineering, as well as policymakers and government functionaries. It is meant to be used as a textbook or additional reading for courses on precision farming, smart agriculture, and sustainable food systems. The content is designed to be understandable to people who have just a cursory understanding of technology and agriculture, but it also provides in-depth analysis for practitioners and advanced students.

Harnessing Machine Learning for Environmental Restoration and Surveillance is an extensive and comprehensive book, showcasing the applications of machine learning and artificial intelligence in environmental monitoring of the quality of air, soil, and water; prediction of environmental risks; optimization and prediction of remediation processes; and enhancement of resource management.

The book offers readers an opportunity to understand how contemporary smart technology (machine learning and artificial intelligence) can be used to safeguard and improve our environment as well as to solve environmental problems and provide sustainable solutions. It offers insights and an opportunity to evaluate theoretical concepts and real-world case studies, thereby boosting innovation and collaboration. The authors give modest explanations of how artificial intelligence and machine learning can monitor pollution, forecast environmental hazards, and support the optimization process for the effective removal of environmental contaminants. Real-world examples where these advanced smart technology tools have been successfully utilized are also presented in this book.

The content and coverage of this academic text are ideal for undergraduate and postgraduate students, researchers, professionals in environmental science, data science, and engineering, as well as individuals interested in the environment and technology.

Harnessing Machine Learning for Environmental Restoration and Surveillance is an extensive and comprehensive book, showcasing the applications of machine learning and artificial intelligence in environmental monitoring of the quality of air, soil, and water; prediction of environmental risks; optimization and prediction of remediation processes; and enhancement of resource management.

The book offers readers an opportunity to understand how contemporary smart technology (machine learning and artificial intelligence) can be used to safeguard and improve our environment as well as to solve environmental problems and provide sustainable solutions. It offers insights and an opportunity to evaluate theoretical concepts and real-world case studies, thereby boosting innovation and collaboration. The authors give modest explanations of how artificial intelligence and machine learning can monitor pollution, forecast environmental hazards, and support the optimization process for the effective removal of environmental contaminants. Real-world examples where these advanced smart technology tools have been successfully utilized are also presented in this book.

The content and coverage of this academic text are ideal for undergraduate and postgraduate students, researchers, professionals in environmental science, data science, and engineering, as well as individuals interested in the environment and technology.

This book explores some of the latest and recent advances in the synthesis, characterization and applications of magnetic nanomaterials. It starts with an overview of magnetic nanomaterials, followed by a list of their synthesis and characterization methods. The book shows the potential of magnetic materials in different applications, including theranostic nanomedicine, heavy metals detection, dyes sensing, solar cells, wastewater treatment,  decontamination of soil, and detection and monitoring of toxic gases. Moreover, it explores their use as drug and gene delivery agents, their biosafety and bioregulation facets, tissue engineering applications, and their potential for combating pathogens