Processing Technologies and Food Protein Digestion covers the effect of all the applied and emerging processing technologies, both thermal and non-thermal, on the digestion of food proteins derived from egg, milk, meat, plants, cereals, fish and seafood. Written by experts from a multidisciplinary perspective, each chapter addresses the effects of processing technologies, particularly emerging technologies such as pulsed electric field, ultrasound, high-pressure, pulsed light, and ohmic heating on the digestion of food proteins. This remarkable reference is the first compilation of available literature in the protein digestibility area.

Progress in Sustainable Development: Sustainable Engineering Practices provides readers with the latest research and best practices in sustainable engineering in the fields of urban, environmental, energy and sustainability sciences, reflecting a focus on state-of-the art insights and the latest developments. Chapters focus on the key engineering principles of effective resource use, reduction of excess waste, and taking advantage of natural resources to equip readers with the background information and practical considerations of successful implementations of sustainable technical solutions. Each chapter features detailed case studies and figures showing real-world applications of the latest technologies, ensuring they are reproduceable by the reader. The multidisciplinary chapters include environmentally-friendly technologies and the application of novel initiatives in engineering for infrastructure, renewable energy generation, advanced materials and waste, among other areas, with a strong emphasis on sustainability and conservation of resources.

BENEFICIAL CHEMICAL ELEMENTS OF PLANTS Understand beneficial elements and their role in the future of botany and agriculture Beneficial elements are those which, while not essential to plant life, can provide stimulation and enhance plant growth. Properly harnessed, these elements can bolster plant growth in the face of environmental conditions—including drought, nutrient deficiency, and excessive soil salinity—and biotic stresses like pathogens and animal activity. As climate change and population growth pose increasingly serious challenges to agriculture and essential plant production, it has never been more important to unleash the potential of beneficial elements. Beneficial Chemical Elements of Plants is an essential resource for researchers and industry specialists looking to enhance their understanding of these elements and the range and variety of their enhancements to plant growth. Written by leading scholars in the field of plant stress tolerance and nutrient enrichment, it discusses not only the rich possibilities of beneficial elements but their mechanisms of action at both biochemical and molecular levels. It details the precise potential roles played by each major beneficial element and surveys a range of elemental responses to specific environmental conditions and plant stresses. Beneficial Chemical Elements of Plants readers will also find: Chapters covering beneficial elements including aluminum, cobalt, sodium, selenium, and silicon Discussion of application methods and typical plant responses Treatment of beneficial elements in a wider environmental context Beneficial element applications to the field of sustainable agriculture Beneficial Chemical Elements of Plants is a fundamental starting point for researchers and students in the fields of plant physiology, crop science, agriculture, and botany, as well as for professionals in the biotechnology and agricultural industries.

Sustainable Utilization of Carbon Dioxide in Waste Management addresses all aspects of sustainable use of carbon dioxide in waste management processes and provides best practices and process improvements for carbon sequestration in the management of a variety of waste types, including carbide lime waste, construction waste, and reject brine effluents, amongst others. The book also provides underlying research on the environmental impacts of these wastes and the need for carbon capture to emphasize the importance and need for improvements of these processes. Overall, this information will be key to determining lifecycle benefits of CO2 for each newly improved waste process. This is an important source of information for environmental and sustainability scientists and engineers, as well as academics and researchers in the field who should be trying to achieve increased carbon capture in any form of waste process to reduce environmental impact.

Agricultural Bioeconomy: Innovation and Foresight in the Post-COVID Era presents recent advancements in biotechnology, exploring the optimal utilization of technologies to provide rapid and impactful economic recovery and sustainable resources in a future that will bear the mark of COVID-19. Understanding that there is a necessary balance between risk and reward, this book provides a foundational hypothesis as well as operational direction for addressing the commercialization and regulatory issues in a bio-based economy where agricultural output is at the core. By presenting adaptable practices to successfully establish and progress agri-based global bioeconomies, the book features a new paradigm focused on technological foresight and response to future risks and disasters. Key considerations include assessing and managing the urban bioeconomy, climate change mitigation, biofuels and bioenergy, GMOs, and employment generation. This book provides the solid next step toward future-proofing global economies using a combination of agricultural technologies and economic goals. Professionals and advanced students focused on the production of renewable biological resources and their conversion into value-added products including food, feed, bio-based products, and bioenergy will find this book useful.

Advances in Agronomy, Volume 174, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field. Each chapter is written by an international board of authors.

Sustainable Energy Management: Planning, Implementation, Control and Strategy, Second Edition provides the key concepts and practical knowledge needed to successfully plan, implement and control sustainable energy technologies. The book provides new paradigms for measuring energy sustainability, pragmatic methods for applying renewable resources, efficiency improvements, and unique insights on managing risk. It highlights the possible financial and practical impacts of these activities, as well as the methods for their calculation. This new edition provides updated guidelines for planning, analyzing, developing and optimizing sustainable energy production projects in the real world, also presenting real-life examples of the topics covered in each chapter. With its focus on real-life issues and discussions of practical challenges, this book is an ideal resource for engineers, researchers and energy managers developing and rolling out sustainable energy practices. Included case studies will help benchmark decisions, especially in the book's new chapter on energy security.

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.

Assessing Progress toward Sustainability: Frameworks, Tools, and Case Studies provides practical frameworks for measuring progress toward sustainability in various areas of production, consumption, services and urban development as they relate to environmental impact. A variety of policies/strategies or frameworks are available at national and international levels. This book presents an integrated approach to sustainability progress measurement by considering both the frameworks and methodological developments of various tools, as well as their implementation in assessing the sustainability of processes, products and services through a global perspective. Combining methods and their application, the book covers a variety of topics, including lifecycle assessment, risk assessment, nexus thinking, and connection to SDGs. Organized clearly into three main sections --Frameworks, Tools, and Case Studies--this book can serve as a practical resource for researchers and practitioners alike in environmental science, sustainability, environmental management and environmental engineering.

Advances in Agronomy, Volume 172, the latest release in this leading reference on the topic, contains a variety of updates and highlights new advances in the field, with each chapter written by an international board of authors.

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm.

Advanced Organic Waste Management: Sustainable Practices and Approaches provides an integrated holistic approach to the challenges associated with organic waste management, particularly related to sustainability, lifecycle assessment, emerging regulations, and novel approaches for resource and energy recovery. In addition to traditional techniques, such as anaerobic digestion, composting, innovative and emerging techniques of waste recycling like hydrothermal carbonization and vermicomposting are included. The book combines the fundamentals and practices of sustainable organic waste management with successful case studies from developed and developing countries, highlighting practical applications and challenges. Sections cover global organic waste generation, encompassing sources and types, composition and characteristics, focus on technical aspects related to various resource recovery techniques like composting and vermicomposting, cover various waste-to-energy technologies, illustrate various environmental management tools for organic waste, present innovative organic waste management practices and strategies complemented by detailed case studies, introduce the circular bioeconomy approach, and more.