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ABOUT THE BOOK

Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies. It discusses practical applications and experiences utilizing phytoremediation methods for environmental sustainability and the remediation of wastewater. It also examines the various interrelated disciplines relating to phytoremediation technologies and plots industry’s best practices to share this technology widely, as well as the latest findings and strategies. It serves as a nexus between artificial intelligence, environmental sustainability and bioremediation for advanced students and practicing professionals in the field.

TABLE OF CONTENTS

1. Impacts of Sustainable Development Goals (SDG) in Wastewater Management;

2. Solving the Shortage of Clean Water through Wastewater Treatment;

3. Microalgae Cultivation for Wastewater Treatment and Bioenergy Generation;

4. Cultivation of Aquatic Plants for Wastewater Treatment;

5. Phytoremediation of Wastewater in Hydroponic Systems;

6. Water Quality Monitoring in Wastewater Phytoremediation;

7. Water Quality Monitoring Using Internet of Things (IoT);

8. Machine Learning Techniques in Water Quality Monitoring;

9. Case Study: Monitoring and Evaluation of Phytoremediation System Using Internet of Things (IoT) and Machine Learning Techniques;

10. Case Study: Emerging Black Box System Identification Model with Neuro-Boasting Machine Learning Techniques for Experimental Validation of Phytoremediation of Wastewater: A Data Intelligent Approach.