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.

Corporate sustainability governance has emerged as a management system that merges and balances the interests of all three pillars of sustainable development—economic, environmental, and social—within the operational boundaries of the organization. This new book offers methodical insights into sustainability and sustainable development, offering chapters on a diverse range of topics, providing valuable insight and inspiration for developing strategies to meet sustainable development goals. The volume looks at business initiatives that aim toward corporate social responsibility, technology in human resource management, adapting industrial policy to sustainable development goals, developing sustainable green banking initiatives, sustainable development in higher education, impact of information and communication technology on the elimination of poverty, sustainable and circular healthcare waste management techniques, integrating sustainable methods for climate-smart agriculture, and much more.

Corporate sustainability governance has emerged as a management system that merges and balances the interests of all three pillars of sustainable development—economic, environmental, and social—within the operational boundaries of the organization. This new book offers methodical insights into sustainability and sustainable development, offering chapters on a diverse range of topics, providing valuable insight and inspiration for developing strategies to meet sustainable development goals. The volume looks at business initiatives that aim toward corporate social responsibility, technology in human resource management, adapting industrial policy to sustainable development goals, developing sustainable green banking initiatives, sustainable development in higher education, impact of information and communication technology on the elimination of poverty, sustainable and circular healthcare waste management techniques, integrating sustainable methods for climate-smart agriculture, and much more.

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.

Corporate sustainability governance has emerged as a management system that merges and balances the interests of all three pillars of sustainable development—economic, environmental, and social—within the operational boundaries of the organization. This new book offers methodical insights into sustainability and sustainable development, offering chapters on a diverse range of topics, providing valuable insight and inspiration for developing strategies to meet sustainable development goals. The volume looks at business initiatives that aim toward corporate social responsibility, technology in human resource management, adapting industrial policy to sustainable development goals, developing sustainable green banking initiatives, sustainable development in higher education, impact of information and communication technology on the elimination of poverty, sustainable and circular healthcare waste management techniques, integrating sustainable methods for climate-smart agriculture, and much more.

Corporate sustainability governance has emerged as a management system that merges and balances the interests of all three pillars of sustainable development—economic, environmental, and social—within the operational boundaries of the organization. This new book offers methodical insights into sustainability and sustainable development, offering chapters on a diverse range of topics, providing valuable insight and inspiration for developing strategies to meet sustainable development goals. The volume looks at business initiatives that aim toward corporate social responsibility, technology in human resource management, adapting industrial policy to sustainable development goals, developing sustainable green banking initiatives, sustainable development in higher education, impact of information and communication technology on the elimination of poverty, sustainable and circular healthcare waste management techniques, integrating sustainable methods for climate-smart agriculture, and much more.