Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: A review on new strategies involving machine learning and artificial intelligence

Sahu, Sudarshan; Kaur, Anupreet; Singh, Gursharan; Kumar Arya, Shailendra

doi:10.1016/j.jenvman.2023.119004

Cited by 42 publications

(2 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through anomaly detection, AI algorithms can identify irregular water quality or system behavior irregularities, alerting operators to potential issues before they escalate. This proactive approach enhances the reliability and effectiveness of water treatment processes (Nong & Tarek, 2023;Sahu, Kaur, Singh, & Arya, 2023).…”

Section: Smart Water Management Technologiesmentioning

confidence: 99%

Review of smart water management: IoT and AI in water and wastewater treatment

Michael Ayorinde Dada,

Michael Tega Majemite,

Alexander Obaigbena

et al. 2024

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) in smart water management revolutionizes sustainable water resource utilization. This comprehensive review explores these technologies' benefits, challenges, regulatory implications, and future trends. Smart water management enhances operational efficiency, predictive maintenance, and resource conservation while addressing data security and infrastructure investment challenges. Regulatory frameworks play a pivotal role in shaping the responsible deployment of AI and IoT, ensuring data privacy and ethical use. Future trends include advanced sensors, decentralized systems, quantum computing, and blockchain for enhanced water data security. The alignment with Sustainable Development Goals (SDGs) underscores the transformative potential of smart water management in achieving universal access to clean water, climate resilience, and inclusive, sustainable development. As we embrace these technologies, collaboration, public awareness, and ethical considerations will guide the evolution of intelligent and equitable water management systems.

show abstract

Section: Smart Water Management Technologiesmentioning

confidence: 99%

Review of smart water management: IoT and AI in water and wastewater treatment

Michael Ayorinde Dada,

Michael Tega Majemite,

Alexander Obaigbena

et al. 2024

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…This integrated approach addresses the challenges of both efficient biomass utilisation and sustainable H2 production while contributing to the broader objective of transitioning towards cleaner energy sources. Thus, refining the synergistic relationship between microalgal or cyanobacterial biomass and artificial photosynthesis holds the promise of unlocking new avenues for efficient, eco-friendly, and scalable H2 energy production (Parmar et al 2011, Akimbekov et al 2022, Sahu et al 2023.…”

Section: Introductionmentioning

confidence: 99%