Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future.
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1. Introduction to innovative Technologies for Waste-to-Energy Conversion using automation and machine learning
2. Basics of Machine learning
3. Basics of Automation
4. Waste classification into plastics, industrial, domestic, and agriculture waste
5. Plastics recycling and the automation role in the recycling process
6. Artificial intelligence for reutilizing the Plastics
7. Handling Metals waste to Salvage with Automation
8. Machine learning: A better means for Metal waste to reprocess
9. Automation in the recycling of Industrial waste
10. Machine learning in Industrial Waste to value added
11. Waste to Value Added: Role of automation in Organic waste
12. Impact of Artificial Intelligence for the recycling of Organic waste
13. Future of Agriculture: Automated vertical farming
14. Agriculture: The Next Machine-Learning Frontier
15. Recycling robots to tackle electrical waste
16. Machine learning for sustainable development in electronics
17. Automated Sorting of Recyclable Domestic waste
18. Machine learning for recycling domestic waste
19. Future aspects of Machine learning/automation for the waste management
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Comprehensive resource providing in-depth understanding of the potential of automation and machine learning techniques in converting waste into valuable resources
Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices
Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions
Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management
Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line
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Produktdetaljer
ISBN
9780443273742
Publisert
2025-05-21
Utgiver
Vendor
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
530