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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.
- 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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Place of publication
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ISBN-13
978-0-443-27375-9 (9780443273759)
Schweitzer Classification
1. Introduction to innovative Technologies for Waste-to-Energy Conversion using automation and machine learning2. Basics of Machine learning3. Basics of Automation4. Waste classification into plastics, industrial, domestic, and agriculture waste5. Plastics recycling and the automation role in the recycling process6. Artificial intelligence for reutilizing the Plastics7. Handling Metals waste to Salvage with Automation8. Machine learning: A better means for Metal waste to reprocess9. Automation in the recycling of Industrial waste10. Machine learning in Industrial Waste to value added11. Waste to Value Added: Role of automation in Organic waste12. Impact of Artificial Intelligence for the recycling of Organic waste13. Future of Agriculture: Automated vertical farming14. Agriculture: The Next Machine-Learning Frontier15. Recycling robots to tackle electrical waste16. Machine learning for sustainable development in electronics17. Automated Sorting of Recyclable Domestic waste18. Machine learning for recycling domestic waste19. Future aspects of Machine learning/automation for the waste management