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<p>Marine plastic pollution poses a significant threat to marine ecosystems worldwide. This study presents novel approach to identify plastic hotspots integrating artificial intelligence (AI) and spatial analysis. We employed You Only Look Once (YOLO) object detection algorithms to identify plastic debris in field photographs and drone imagery, followed by advanced spatial analysis using ArcGIS Pro to map and analyse the distribution of plastics from 59 sites in the Central Vembanad Lake. The analysis revealed 17 major hotspots, accounting for 270 individual plastic debris. Significant accumulations were observed in Kumbalam (139), Edakochi (135), Chellanam (136) and Kannamali (130). The results demonstrated the potential of integrating AI and spatial tools with UAV imagery for the identification of plastic pollutants and the validation of a scalable monitoring framework for Coastal Ecosystem Management (CEM)."This integrated methodology offers a powerful tool for researchers and policymakers to target cleanup efforts and develop strategies for reducing marine plastic pollution.</p>

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Identifying plastic pollution hotspots of Vembanad lake, Kerala, India: an integrated approach using artificial intelligence and spatial analysis

  • 期刊论文

  • 发表日期：

    2025年6月25日

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  • P. P. Ayana,
  • M. R. Sethu,
  • Antony Nirmal,
  • M. K. Swetha,
  • V. P. Limna Mol

摘要

Marine plastic pollution poses a significant threat to marine ecosystems worldwide. This study presents novel approach to identify plastic hotspots integrating artificial intelligence (AI) and spatial analysis. We employed You Only Look Once (YOLO) object detection algorithms to identify plastic debris in field photographs and drone imagery, followed by advanced spatial analysis using ArcGIS Pro to map and analyse the distribution of plastics from 59 sites in the Central Vembanad Lake. The analysis revealed 17 major hotspots, accounting for 270 individual plastic debris. Significant accumulations were observed in Kumbalam (139), Edakochi (135), Chellanam (136) and Kannamali (130). The results demonstrated the potential of integrating AI and spatial tools with UAV imagery for the identification of plastic pollutants and the validation of a scalable monitoring framework for Coastal Ecosystem Management (CEM)."This integrated methodology offers a powerful tool for researchers and policymakers to target cleanup efforts and develop strategies for reducing marine plastic pollution.