This project tracks and predicts water hyacinth spread in Hartbeespoort Dam using AI and satellite data.
This project focuses on monitoring and predicting the spread of water hyacinth, an invasive aquatic plant disrupting ecosystems and water quality in Hartbeespoort Dam. By leveraging satellite imagery, weather data, and machine learning models, the system provides real-time tracking and forecasts of hyacinth movement.
A user-friendly data visualisation platform enables stakeholders, including researchers, conservation agencies, and local communities, to access insights for better management strategies. The project aims to enhance ecological conservation efforts by providing data-driven solutions to mitigate the impact of invasive species.
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