Machine learning and Internet of things in fire ecology [electronic resource] / Christian Kaunert, Rishabha Malviya, Bhupinder Singh, Sahil Lal, Manmeet Kaur Arora, editors.
- 其他作者：
- 其他題名：
- Advances in environmental engineering and green technologies (AEEGT) book series.
- 出版： Hershey, Pennsylvania : IGI Global Scientific Publishing 2025.
- 叢書名： Advances in environmental engineering and green technologies (AEEGT) book series
- 主題： Forest fires--Prevention and control--Data processing. , Fire ecology--Data processing. , Forest fires--Prevention and control--Technological innovations. , Forests and forestry--Fire management. , Forest management--Technological innovations. , Artificial Intelligence (AI) , Biodiversity. , Data Analytics. , Environmental Safety. , Fire Ecology. , Forest Management. , Internet of Things (IoT) , Machine Learning (ML) , Unmanned Aerial Vehicles (UAVs) , Wildfire Detection. , Wildfire Prediction. , Wildlife Conservation. , Electronic books.
- ISBN： 9798369375679 (ebook)
- URL：
電子書(校內)
電子書(校外)
- 一般註：Includes bibliographical references and index. Preface -- Chapter 1. Addressing the Impacts of Annual Wildfires on Biodiversity and Ecosystem Services: A Review of Global Efforts -- Chapter 2. Advancing Artificial Intelligence for Wildfire Prediction and Control: New Edges in Environmental Safety and Fire Ecology -- Chapter 3. AI and ML Applications in Wildlife Conservation and Forest Management: A Comprehensive Review -- Chapter 4. Artificial Intelligence and Machine Learning Technological Tools in Enhancing Efficiency in Wildlife and Forest Conservation -- Chapter 5. Discovering Advances in Using Artificial Techniques (AI) Techniques to Understand and Manage Wildfires -- Chapter 6. Emerging Trends of IoT in Conservation of Biodiversity: A Futuristic Approach -- Chapter 7. Integrating Machine Learning Into Wildlife and Forest Conservation: Ethical Considerations and Sustainable Practices -- Chapter 8. Integrating UAV-IoT Networks for Proactive Wildfire Detection: Innovations and Future Directions -- Chapter 9. IoT Networks and ML in Fire Ecology Innovations and Impacts -- Chapter 10. Modernizing Wildfire Management Through Deep Learning and IoT in Fire Ecology -- Chapter 11. Prospects and Challenges of Artificial Intelligence in Forest Protection -- Chapter 12. Role of Machine Learning and Deep Learning in Forest Management Through Data Analytics -- Chapter 13. Role of UAV-IoT Networks in Future Wildfire Detection -- Chapter 14. Wildlife and Forest Resource Management With Artificial Intelligence -- Compilation of References -- About the Contributors -- Index. 114年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000327351 | 機讀編目格式
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摘要註
"The destruction of millions of acres of forest land through wildfires is a global cause of concern. Artificial intelligence (AI), transformative in nature, has the potential to transcend and significantly mitigate risk factors of wildfires. AI-driven monitoring systems can detect early signs of wildfire activity, allowing for faster, more targeted responses that can minimize damage and save lives. Machine Learning and Internet of Things in Fire Ecology elucidates andexplores the interface of fire ecology with AI, machine learning, and internet of things, as these technologies emerged as a pivotal domain with transformative potential. It will assist environmental-related industries in understanding theparaphernalia and dynamics of the fire ecology ecosystem. Covering topics such as AI, unmanned aerial vehicles (UAVs), and wildlife conservation, this book is an excellent resource for government officials, ecologists, academicians, policymakers, researchers, environmental specialists, industry experts, graduate and postgraduate students, and more."--