DETECTION OF WASTEWATER POLLUTION THROUGH NATURAL LANGUAGE GENERATION WITH LOW-COST SENSING PLATFORM
Keywords:
Wastewater, Pollution, natural language generation, low-cost sensing platformAbstract
Wastewater pollution poses a significant threat to environmental and public health, necessitating efficient and cost-effective
monitoring solutions. Traditional water quality assessment methods often rely on expensive laboratory analysis and manual inspections, limiting their scalability and real-time applicability. This study presents a novel approach for detecting wastewater pollution using a low-cost sensing platform integrated with Natural Language Generation (NLG).
References
Zhang, W., Li, H., & Wang, J. (2020). "Impact of wastewater pollution on aquatic ecosystems: A comprehensive review." Environmental Science & Technology, 54(11), 6782-6795. [2] Kumar, S., & Gupta, P. (2019). "Advances in water quality monitoring: Challenges and opportunities." Journal of Water Research and Technology, 45(3), 198-214.
