Scouring of Salt Chuck: Employing Deep Learning for Autonomous Plastic Extraction from Water Bodies' Surfaces

Ponds grapple with diverse challenges as plastic trash accumulation harms aquatic ecosystems and endangers a variety of species. The urgency to address these issues is underscored by the importance of ponds as vital habitats. Detrimental effects of trash on water quality, aquatic life, and biodiversity necessitate prompt removal. Utilizing advanced technologies such as Satellite signals, IoT sensors, and Al & ML with deep learning algorithms can expedite plastic trash detection and removal processes. Swift intervention is critical to restoring pond ecosystems, safeguarding biodiversity, and ensuring sustainable water resources.