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@article{174164,
        author = {Mr. Bhavesh Dubla and Mr. Tirth Baria and Dr. Santosh Kumar Singh and Mr.Amit Kumar Pandey},
        title = {AI-Driven Microplastic Detection In Ocean Using Drone Imaging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2904-2909},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174164},
        abstract = {Microplastic pollution has emerged as a critical environmental issue, posing severe threats to marine ecosystems and human health. Conventional detection methods, relying on manual sampling and laboratory analysis, are labor-intensive and inefficient for large-scale monitoring. This research introduces an AI-driven approach that leverages drone imaging and deep learning models to detect microplastics in oceanic environments. Our proposed system integrates YOLOv8 for real-time object detection and Mask R-CNN for instance segmentation, ensuring high precision in microplastic identification. A custom dataset of drone-captured ocean images was utilized for training, achieving a mean Average Precision (mAP) exceeding 90%. The results validate the efficiency of AI-driven methodologies in detecting microplastics across diverse environmental conditions and scales. This research significantly contributes to automated ocean monitoring, fostering advancements in marine conservation efforts.},
        keywords = {Microplastic detection, drone imaging, YOLOv8, Mask R-CNN, deep learning, ocean pollution monitoring.},
        month = {March},
        }