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.

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.

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.

A guide to the role microbes play in the enhanced production and productivity of agriculture to feed our growing population Phytomicrobiome Interactions and Sustainable Agriculture offers an essential guide to the importance of 'Phytomicrobiome' and explores its various components. The authors - noted experts on the topic - explore the key benefits of plant development such as nutrient availability, amelioration of stress and defense to plant disease. Throughout the book, the authors introduce and classify the corresponding Phytomicrobiome components and then present a detailed discussion related to its effect on plant development: controlling factors of this biome, its behaviour under the prevailing climate change condition and beneficial effects. The book covers the newly emerging technical concept of Phytomicrobiome engineering, which is an advanced concept to sustain agricultural productivity in recent climatic scenario. The text is filled with comprehensive, cutting edge data, making it possible to access this ever-growing wealth of information. This important book: Offers a one-stop resource on phytomicrobiome concepts Provides a better understanding of the topic and how it can be employed for understanding plant development Contains a guide to sustaining agriculture using phytomicrobiome engineering Presents information that can lead to enhanced production and productivity to feed our growing population Written for students, researchers and policy makers of plant biology, Phytomicrobiome Interactions and Sustainable Agriculture offers a clear understanding of the importance of microbes in overall plant growth and development.

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.