Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques
Hauwa Mohammed Mustafa, Gasim Hayder, B0BVL6FGR3, 1032417447, 9781032417448, 978-1-032-41744-8, 978-1032417448, 978-1-032-41752-3, 978-1032417523, 9781032417523, 978-1-003-35958-6, 9781003359586, 978-1003359586
English | 2023 | PDF | 34 MB | 163 Pages
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 practising professionals in the field.