Advances in Food Security and Sustainability, Volume Seven in this informative serial, highlights new advances in the field, with this new volume presenting interesting chapters on Nutritional improvement of cereal crops to combat hidden hunger during COVID-19 pandemic: Progress and prospects, Resilience and food security, Food insecurity in Lebanon, Promising technologies on food security and sustainability, and Agrobiodiversity. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Food Security and Sustainability serial

"It is clear that one of the most damaging global problems is hunger. There is still a high proportion of hungry people in the world, the number of human beings in this condition exceeding 690 million, according to the latest State of Food Security and Nutrition in the World Report (FAO 2020). Consequently, its eradication is extremely urgent. Nevertheless, it does not appear that Sustainable Development Goal number two, i.e. Zero Hunger, will be achieved by 2030. The United Nations itself admits this, stating that "the world is not on track to achieve Zero Hunger by 2030. If recent trends continue, the number of people affected by hunger would surpass 840 million by 2030". The problems facing food in the world today have increased considerably, as well as various factors and phenomena that augment the complexity of the issues or situations that fall within the scope of food security, such as: climate change, land grabbing, use of chemical fertilizers, loss of agrodiversity and other agricultural sustainability issues, obesity problems resulting from unhealthy diets, the impact of the coronavirus pandemic, the lack of justiciability of the right to food, the use of biotechnology in food, etc. In short, this book is a diverse compilation of the new manifestations of global food security seen from several angles and areas. The book aims to let visualize the main global problems and challenges that have a negative impact on food security, with the underlying objective of highlighting the need for reinforcing its full application in all contexts and countries. To this end, we believe that it is necessary to make its concept operational, and take it into consideration when applying policies and standards, especially in those areas and matters that may undermine said food security. In this sense, it is essential to strengthen its legal protection through a coherent and operational interpretation of the human right to food, so as to broaden its content and make it consistent with its pillars and foundations"--

The main goal of Smart Agritech: Robotics, AI, and Internet of Things (IoT) in Agriculture is to explore how emerging technologies such as robotics, artificial intelligence (AI), and IoT can be leveraged to improve efficiency, sustainability, and productivity in agriculture. Agriculture has always been a vital sector of the global economy, providing food and raw materials for industries and households. However, with the growing population, changing climate conditions, and limited resources, the agriculture sector faces numerous challenges. To address these challenges, farmers and agricultural companies are turning to advanced technologies such as Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT). This exciting new volume provides a comprehensive overview of the latest technological advances in agriculture, focusing on these three cutting-edge technologies. The book will explore the potential benefits of these technologies in improving agricultural efficiency, productivity, and sustainability. Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.

By 2050 the world's population is projected to grow by one-third, reaching between 9 and 10 billion. With globalization and expected growth in global affluence, a substantial increase in per capita meat, dairy, and fish consumption is also anticipated. The demand for calories from animal products will nearly double, highlighting the critical importance of the world's animal agriculture system. Meeting the nutritional needs of this population and its demand for animal products will require a significant investment of resources as well as policy changes that are supportive of agricultural production. Ensuring sustainable agricultural growth will be essential to addressing this global challenge to food security. Critical Role of Animal Science Research in Food Security and Sustainability identifies areas of research and development, technology, and resource needs for research in the field of animal agriculture, both nationally and internationally. This report assesses the global demand for products of animal origin in 2050 within the framework of ensuring global food security; evaluates how climate change and natural resource constraints may impact the ability to meet future global demand for animal products in sustainable production systems; and identifies factors that may impact the ability of the United States to meet demand for animal products, including the need for trained human capital, product safety and quality, and effective communication and adoption of new knowledge, information, and technologies. The agricultural sector worldwide faces numerous daunting challenges that will require innovations, new technologies, and new ways of approaching agriculture if the food, feed, and fiber needs of the global population are to be met. The recommendations of Critical Role of Animal Science Research in Food Security and Sustainability will inform a new roadmap for animal science research to meet the challenges of sustainable animal production in the 21st century.

The research field of “plant speed breeding" is promising to meet the future demand for crop improvement in an efficient and effective manner. The process accelerates breeding and research programs through the shortening of the generation time of crops. Plant Speed Breeding and High-Throughput Technologies explores and analyzes a range of innovations from CRISPR/Cas9-based genome editing to state-of-the-art controlled-environment growth chambers. The book integrates achievements of plant speed breeding technologies with an emphasis on the fundamental and advanced systems for genome editing, functional genomics, controlled-environment growth chambers, genomic and phenotypic selection methods, and high-throughput technologies. It examines the applications of technologies across major model plants and key crops such as cereals, vegetables, and fruit trees. The book explores high-throughput genotyping using next-generation sequencing systems, enabling precise single nucleotide polymorphism markers, quantitative trait loci mapping, and genome-wide association studies . These tools are used in identifying candidate genes that will revolutionize crop breeding, as they are capable of tolerating complex abiotic and biotic stresses induced by global climate change. Serving as an ideal reference on plant speed breeding technologies, this book is for graduate students, teachers, researchers, and experts in the fields of plant sciences and plant breeding as well as agronomy and agriculture.

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.