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Harnessing AI in geospatial technolo...
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IGI Global.
Harnessing AI in geospatial technology for environmental monitoring and management
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Harnessing AI in geospatial technology for environmental monitoring and managementFroilan D. Mobo.
其他題名:
Harnessing artificial intelligence in geospatial technology for environmental monitoring and management
作者:
Mobo, Froilan D.
出版者:
Hershey, Pennsylvania :IGI Global Scientific Publishing,2025.
面頁冊數:
1 online resource (xxvi, 429 p.) :ill.
標題:
Artificial intelligenceEnvironmental applications.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8104-5
ISBN:
9798369381069$q(ebook)
Harnessing AI in geospatial technology for environmental monitoring and management
Mobo, Froilan D.
Harnessing AI in geospatial technology for environmental monitoring and management
[electronic resource] /Harnessing artificial intelligence in geospatial technology for environmental monitoring and managementFroilan D. Mobo. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxvi, 429 p.) :ill. - Advances in geospatial technologies (AGT) book series. - Advances in geospatial technologies (AGT) book series..
Includes bibliographical references and index.
Preface -- Acknowledgment -- Chapter 1. AI and Geospatial Intelligence: Unlocking New Possibilities for the Future -- Chapter 2. AI-Based Deep Memory Alex Neural Network for Early Detection of Forest and Land Fires -- Chapter 3. AI-Powered Virtual Mouse Control Through Hand Gestures With Computer Vision -- Chapter 4. Cybersecurity Strategies for Smart Cities -- Chapter 5. Develop a Hybrid Ensemble Transfer-Based Residual Multi-Resolution CNN for Classification of LandCover in Remote Sensing Images -- Chapter 6. EcoAgriBot Harnessing Solar Energy and ESP8266 Connectivity for Sustainable Rice Cultivation: EcoAgriBot A Solar-Powered, Wi-Fi-Enabled Rice Seeder for Smarter Agriculture -- Chapter 7. Geographic Information System and AI Integration to Support Sustainable Environment: A Glance From the Construction Sector -- Chapter 8. Harnessing the Transformative Power of AI for Enhanced Disaster Prediction and Comprehensive Risk Assessment. --Chapter 9. Leveraging AI for Real-Time Environmental Monitoring: Innovations and Impacts -- Chapter 10. Plant Disease Classification Using Deep Learning for Agricultural Applications -- Chapter 11. Potential Breakthroughs in EnvironmentalMonitoring and Management -- Chapter 12. Satellite Data Analysis of Surface Water Pollution: Surface Water Analysis -- Chapter 13. The Development of a Marketing Campaign to Promote a New AI-Powered Geospatial Technology for Environmental Monitoring -- Chapter 14. The Role of Social Media in Communicating Environmental Information From AI-Driven Geospatial Technologies -- Chapter 15. AI in Identifying Climate Vulnerabilities in Urban Areas in Zambales -- Compilation of References -- About the Contributors -- Index.
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.
Mode of access: World Wide Web.
ISBN: 9798369381069$q(ebook)Subjects--Topical Terms:
995258
Artificial intelligence
--Environmental applications.Subjects--Index Terms:
Agriculture.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: GE45.D37 / H375 2025eb
Dewey Class. No.: 333.720285/63
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Preface -- Acknowledgment -- Chapter 1. AI and Geospatial Intelligence: Unlocking New Possibilities for the Future -- Chapter 2. AI-Based Deep Memory Alex Neural Network for Early Detection of Forest and Land Fires -- Chapter 3. AI-Powered Virtual Mouse Control Through Hand Gestures With Computer Vision -- Chapter 4. Cybersecurity Strategies for Smart Cities -- Chapter 5. Develop a Hybrid Ensemble Transfer-Based Residual Multi-Resolution CNN for Classification of LandCover in Remote Sensing Images -- Chapter 6. EcoAgriBot Harnessing Solar Energy and ESP8266 Connectivity for Sustainable Rice Cultivation: EcoAgriBot A Solar-Powered, Wi-Fi-Enabled Rice Seeder for Smarter Agriculture -- Chapter 7. Geographic Information System and AI Integration to Support Sustainable Environment: A Glance From the Construction Sector -- Chapter 8. Harnessing the Transformative Power of AI for Enhanced Disaster Prediction and Comprehensive Risk Assessment. --Chapter 9. Leveraging AI for Real-Time Environmental Monitoring: Innovations and Impacts -- Chapter 10. Plant Disease Classification Using Deep Learning for Agricultural Applications -- Chapter 11. Potential Breakthroughs in EnvironmentalMonitoring and Management -- Chapter 12. Satellite Data Analysis of Surface Water Pollution: Surface Water Analysis -- Chapter 13. The Development of a Marketing Campaign to Promote a New AI-Powered Geospatial Technology for Environmental Monitoring -- Chapter 14. The Role of Social Media in Communicating Environmental Information From AI-Driven Geospatial Technologies -- Chapter 15. AI in Identifying Climate Vulnerabilities in Urban Areas in Zambales -- Compilation of References -- About the Contributors -- Index.
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