• Karan
• Harjinder Kaur

The rapid increase in microplastic contamination has emerged as a critical environmental challenge, severely impacting aquatic ecosystems and posing risks to biodiversity and human health. Traditional microplastic detection and monitoring techniques are often labor-intensive, time-consuming, and limited in scalability. Artificial Intelligence (AI) offers a transformative approach to addressing these limitations by enabling automated, accurate, and real-time identification of microplastics across diverse aquatic environments. This study explores the application of AI-driven methods—such as machine learning, deep learning, and computer vision—for microplastic detection, classification, source identification, and pollution trend analysis in freshwater and marine ecosystems. AI models integrated with imaging technologies, spectroscopy (e.g., FTIR and Raman), and sensor-based monitoring systems significantly enhance detection accuracy while reducing human intervention. Furthermore, AI-powered predictive analytics and decision-support systems contribute to pollution control by forecasting microplastic dispersion, identifying pollution hotspots, and optimizing mitigation strategies. The integration of AI with remote sensing, autonomous platforms, and Internet of Things (IoT) infrastructures supports continuous monitoring and evidence-based policymaking. Despite challenges related to data quality, model generalization, and interpretability, AI-driven solutions present a scalable and sustainable pathway for effective microplastic pollution control and ecosystem conservation.

Artificial Intelligence; Microplastic Detection; Aquatic Ecosystems; Pollution Control; Machine Learning; Deep Learning; Environmental Monitoring; Computer Vision

"Artificial Intelligence for Microplastic Detection and Pollution Control in Aquatic Ecosystems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.d587-d592, January-2026, Available :http://www.jetir.org/papers/JETIR2601376.pdf

"Artificial Intelligence for Microplastic Detection and Pollution Control in Aquatic Ecosystems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppd587-d592, January-2026, Available at : http://www.jetir.org/papers/JETIR2601376.pdf