Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.

In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.

In an increasingly complex world, decision-makers face the challenge of optimizing multiple conflicting objectives across various scenarios. Multi-Criteria Decision-Making (MCDM) techniques have emerged as essential tools for addressing these challenges and offer methods to evaluate alternatives and minimize subjectivity. As the landscape of MCDM evolves with new approaches such as fuzzy set theory, rough set theory, and neutrosophic set theory, decision-making in situations involving varied and complex data becomes more reliable and consistent. Recent Theories and Applications for Multi-Criteria Decision-Making explores the latest trends and innovations in this field. The book includes thought-provoking input from renowned researchers who cover case studies, real-world applications, challenges, and cutting-edge methodologies. It highlights the integration of advanced technologies such as AI, big data, and IoT with MCDM, while offering practical insights into strategic decision-making in today's digital age. This volume serves as a valuable resource for scholars, practitioners, and researchers keen to improve their decision-making capacity.

The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.

While the effects of climate change become ever more apparent and pressing, the discussion of sustainable practices and environmental protection is a common overture among the academic and scientific communities. However, in order to be truly effective, sustainable solutions must be tested and applied in real-world situations. Sustainability Science for Social, Economic, and Environmental Development investigates the role of sustainability in the everyday lives of ordinary citizens, including issues of economy, social interaction, exploitation of natural resources, and sources of renewable energy. In this book, researchers, policy makers, economists, scientists, and general readers will all find crucial insight into the parallels between theory and practice in sustainable development.

A comprehensive resource to sustainability and its application to the environmental, industrial, agricultural and food security sectors Sustainability fills a gap in the literature in order to provide an important guide to the fundamental knowledge and practical applications of sustainability in a wide variety of areas. The authors – noted experts who represent a number of sustainability fields – bring together in one comprehensive volume the broad range of topics including basic concepts, impact assessment, environmental and the socio-economic aspects of sustainability. In addition, the book covers applications of sustainability in environmental, industrial, agricultural and food security, as well as carbon cycle and infrastructural aspects. Sustainability addresses the challenges the global community is facing due to population growth, depletion of non-renewable resources of energy, environmental degradation, poverty, excessive generation of wastes and more. Throughout the book the authors discuss the economics, ecological, social, technological and systems perspectives of sustainability. This important resource: Explores the fundamentals as well as the key concepts of sustainability; Covers basic concepts, impact assessment, environmental and socio-economic aspects, applications of sustainability in environmental, industrial, agricultural and food security, carbon cycle and infrastructural aspects; Argues the essentiality of sustainability in ensuring the propitious future of earth systems; and Authored by experts from a range of various fields related to sustainability. Written for researchers and scientists, students and academics, Sustainability: Fundamentals and Applications is a comprehensive book that covers the basic knowledge of the topic combined with practical applications.