Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource managementIncludes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource managementPresents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.- Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management- Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management- Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

This book provides a comprehensive and contemporary source of reference for the gig economy for sustainable businesses with a focus on Industry 4.0. It covers the theoretical and practical implications of the rise of an alternative system in the era of technology-driven business entities; and explains the emergence of the gig economy as a crucial factor in devising approaches that will help in ensuring better decision making.As the COVID-19 pandemic rages on, investors and corporations are attempting to overcome the turbulence in financial markets over the past few months. Governments and economists are scrambling to mitigate the impacts of lockdowns. Many businesses have transferred to a remote working system, and the critical challenge remains to make this form of work and business productive, efficient, and sustainable. Against this backdrop, the book provides an overview of the gig economy from varied perspective such as general business and economics; ethics, governance, and legal issues; diffusion of IT in the workplace; sustainability; future of workforce and workplaces during and post-pandemic scenarios. This edited volume also highlights several challenges and opportunities for managing the diverse workforce in the prevailing situation which has no precedence.With its discussions on the impact of the gig economy on the business world, the book carries appeal for scholars in the business, human resource professionals, industry practitioners, corporates, and policy advocates interested in learning about evolution, automation, marketing, and sustainability in the gig economy.

This book provides a comprehensive and contemporary source of reference for the gig economy for sustainable businesses with a focus on Industry 4.0. It covers the theoretical and practical implications of the rise of an alternative system in the era of technology-driven business entities; and explains the emergence of the gig economy as a crucial factor in devising approaches that will help in ensuring better decision making.

As the COVID-19 pandemic rages on, investors and corporations are attempting to overcome the turbulence in financial markets over the past few months. Governments and economists are scrambling to mitigate the impacts of lockdowns. Many businesses have transferred to a remote working system, and the critical challenge remains to make this form of work and business productive, efficient, and sustainable. Against this backdrop, the book provides an overview of the gig economy from varied perspective such as general business and economics; ethics, governance, and legal issues; diffusion of IT in the workplace; sustainability; future of workforce and workplaces during and post-pandemic scenarios. This edited volume also highlights several challenges and opportunities for managing the diverse workforce in the prevailing situation which has no precedence.

With its discussions on the impact of the gig economy on the business world, the book carries appeal for scholars in the business, human resource professionals, industry practitioners, corporates, and policy advocates interested in learning about evolution, automation, marketing, and sustainability in the gig economy.

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource managementIncludes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource managementPresents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.- Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management- Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management- Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

Facing unprecedented challenges including extreme weather events, shifting rainfall patterns, and rising temperatures, the agriculture sector is at an inflection point. These difficulties endanger the global food supply chain and the livelihoods of millions of producers. This collected work provides the tools required to navigate the complex relationship between smart farming and climate resilience.Sustainable and Smart Farming Eco-systems: Changing Landscapes in the Age of Technology bridges the gap between theory and practice by providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems. The editors offer a comprehensive guide to modern agriculture that emphasises the critical significance of smart farming and climate resilience. Multidisciplinary in nature, the collected chapters delve into the basics of climate change and its direct and indirect effects on agriculture, the economic aspects of intelligent agriculture, marketing strategies for smart agriculture practices, and practical and managerial issues in the implementation of smart agriculture. It also analyses policy implications and advocacy for developing sustainable and smart farming ecosystems. Chapters provide step-by-step instructions, case studies, and real-world examples to help readers comprehend how to integrate technology and data analytics into their agricultural operations.Providing actionable insights and strategies for improving the sustainability and resilience of agricultural systems, this collected edition is useful for academics and professionals in the field of agriculture, environmental science, and climate change.

This book provides a comprehensive and contemporary source of reference for the gig economy for sustainable businesses with a focus on Industry 4.0. It covers the theoretical and practical implications of the rise of an alternative system in the era of technology-driven business entities; and explains the emergence of the gig economy as a crucial factor in devising approaches that will help in ensuring better decision making.As the COVID-19 pandemic rages on, investors and corporations are attempting to overcome the turbulence in financial markets over the past few months. Governments and economists are scrambling to mitigate the impacts of lockdowns. Many businesses have transferred to a remote working system, and the critical challenge remains to make this form of work and business productive, efficient, and sustainable. Against this backdrop, the book provides an overview of the gig economy from varied perspective such as general business and economics; ethics, governance, and legal issues; diffusion of IT in the workplace; sustainability; future of workforce and workplaces during and post-pandemic scenarios. This edited volume also highlights several challenges and opportunities for managing the diverse workforce in the prevailing situation which has no precedence.With its discussions on the impact of the gig economy on the business world, the book carries appeal for scholars in the business, human resource professionals, industry practitioners, corporates, and policy advocates interested in learning about evolution, automation, marketing, and sustainability in the gig economy.

This book provides a comprehensive and contemporary source of reference for the gig economy for sustainable businesses with a focus on Industry 4.0. It covers the theoretical and practical implications of the rise of an alternative system in the era of technology-driven business entities; and explains the emergence of the gig economy as a crucial factor in devising approaches that will help in ensuring better decision making.

As the COVID-19 pandemic rages on, investors and corporations are attempting to overcome the turbulence in financial markets over the past few months. Governments and economists are scrambling to mitigate the impacts of lockdowns. Many businesses have transferred to a remote working system, and the critical challenge remains to make this form of work and business productive, efficient, and sustainable. Against this backdrop, the book provides an overview of the gig economy from varied perspective such as general business and economics; ethics, governance, and legal issues; diffusion of IT in the workplace; sustainability; future of workforce and workplaces during and post-pandemic scenarios. This edited volume also highlights several challenges and opportunities for managing the diverse workforce in the prevailing situation which has no precedence.

With its discussions on the impact of the gig economy on the business world, the book carries appeal for scholars in the business, human resource professionals, industry practitioners, corporates, and policy advocates interested in learning about evolution, automation, marketing, and sustainability in the gig economy.