Green Computing for Sustainable Development

Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:

• Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practices
• Energy-efficient data management, resource provisioning, and the importance of monitoring carbon footprints
• The intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation efforts
• The integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable development
• The role of information and communication technology (ICT) in promoting health and well-being
• The importance of green computing due to growing environmental concerns related to information technology
• The integration of AI in sustainable farming practices
• The synergy between green computing practices and economic growth in achieving sustainable development
• The integration of green computing with e-waste management to tackle environmental challenges in the IT sector
• How the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planning

This book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.