Harnessing Ai In Geospatial Technology For Environmental Monitoring And Management
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Harnessing AI in Geospatial Technology for Environmental Monitoring and Management
The integration of Artificial Intelligence (AI) with geospatial technologies is increasingly vital in addressing environmental challenges facing society today. As climate change, resource depletion, and environmental degradation intensify, AI-driven geospatial tools offer powerful solutions for monitoring ecosystems, predicting environmental changes, and managing natural resources more effectively. By harnessing AI to analyze large volumes of environmental data, decision-makers can gain deeper insights and make more informed, timely decisions to protect the environment. This convergence of technology and environmental science has the potential to revolutionize how we understand and respond to environmental issues, making it a critical area of focus for sustainable development and environmental protection efforts. Harnessing AI in Geospatial Technology for Environmental Monitoring and Management explores the integration of AI with geospatial technologies to advance environmental monitoring and management practices. It discusses methods, challenges, and emerging technologies in the field. Covering topics such as agriculture, environmental information, and solar energy, this book is an excellent resource for academicians, researchers, professionals, policymakers, government officials, graduate and postgraduate students, and more.
Recent Trends in Geospatial AI
Geospatial research is facing both enormous new potential and challenges due to artificial intelligence (AI). Theoretical advances, large data, computer hardware, and high-performance computing platforms that enable the creation, training, and deployment of AI models in a reasonable amount of time are the main drivers of its rapid development. There have been notable developments in the field of geospatial AI, particularly in the areas of machine learning, deep learning, and the most recent advancements in AI technology in both academia. These advancements are transforming how spatial data is analyzed and interpreted, enabling more accurate predictions, real-time mapping, and enhanced decision-making capabilities across various applications. Recent Trends in Geospatial AI discusses the emerging potentials, challenges, and trends in geospatial AI. It further explores innovative applications of geospatial AI across a variety of sectors. Covering topics such as data processing, internet of things (IoT), and traffic flow optimization, this book is an excellent resource for graduate and postgraduate students, researchers, academicians, practitioners, and more.
Machine Learning and Robotics in Urban Planning and Management
The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers.