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@article{199858,
        author = {Dheeraj Nair and Kunal Rao Borse and Rugved Raghavendra Shete},
        title = {Oil Spill Detection: Save Marine lives},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15900-15904},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199858},
        abstract = {Oil spills are major environmental disasters, threatening marine life, coastal economies, and public health. Rapid and precise detection is crucial for minimizing their impact. This study examines cutting- edge technique for oil spill identification: a machine learning and deep learning-based image processing system using drone-captured imagery. The paper explores data collection, algorithmic approaches, and performance evaluations. Findings indicate that merging these techniques enhances detection reliability and facilitates quicker emergency responses.},
        keywords = {Oil Spill Monitoring, Remote Sensing, SAR Technology, Unmanned Aerial Vehicles (UAVs), Machine Learning, Environmental Protection.},
        month = {April},
        }