Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques 1st Edition

Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques (1st Edition) by Hauwa Mohammed Mustafa and Gasim Hayder offers a fresh, practical roadmap for combining nature-based solutions with cutting-edge technology to tackle urban and rural water pollution.

Start with a compelling real-world challenge—contaminated household effluent—and discover how living plant systems can be optimized and monitored using the latest IoT sensors and machine learning models. This book bridges ecological engineering and data science, translating theory into actionable strategies for waste stabilization ponds, constructed wetlands, and decentralized treatment systems used across cities, towns, and agricultural communities worldwide.

Inside, readers will find clear step-by-step methodologies, performance metrics, and problem-solving frameworks that make complex concepts accessible to environmental engineers, researchers, policy makers, and sustainability practitioners. Case studies reflect diverse climatic and socioeconomic settings, giving the guidance local relevance and global applicability—from municipal utilities to NGO-led sanitation projects.

Why this title stands out: it combines hands-on phytoremediation techniques with real-time monitoring and predictive analytics, enabling more efficient operation, reduced maintenance costs, and improved public health outcomes. Whether you’re designing a pilot project, writing policy, or teaching environmental technology, this edition equips you with the tools to implement resilient, low-carbon wastewater solutions.

Equip your work with an interdisciplinary reference that speaks to modern water-management needs. Order your copy of Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques today and lead the next wave of sustainable wastewater innovation.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.