Antonio Zuorro – författare

Medicinal and Aromatic Plants: Trends, Technological Innovations and Sustainability explores the latest advancements and sustainable practices in the cultivation, extraction, and application of medicinal and aromatic plants (MAPs). Focusing on enhancing the value and bioactive compound content of MAPs, this book integrates cutting-edge technologies and green methodologies to support industrial, health, and environmental applications. The book is structured into three comprehensive parts; Part I addresses cultivation strategies aimed at improving metabolite content, including artificial intelligence approaches, plant tissue culture technologies, and abiotic stress techniques. Part II investigates advanced extraction, purification, and analytical methods for recovering and identifying high-value biologically active compounds. Part III highlights diverse applications such as functional foods, cosmetics, biopesticides, and the utilization of residual biomass for soil health and value addition. The book also discusses market trends and conservation challenges, providing insights into sustainable development within the MAP sector. This book serves as an essential resource for researchers, industry professionals, agronomists, and researchers engaged in medicinal and aromatic plant sciences, offering practical knowledge and innovative solutions to advance sustainability in the field.Provides an up-to-date, comprehensive overview of MAPs, including market demand and future projectionsCovers the status and prospects of each technology for MAP research with insights into their limitations, to assist future researchers in designing their workIncludes numerous illustrations, trivia boxes, tables, and figures to provide enhanced understanding of the concepts covered

This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI.AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem.This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.

This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI.AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem.This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.