Team JONAM Uses Copernicus Satellite Data to Monitor Lake Victoria Fish Stock Decline

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A team called JONAM built an AI-powered web application to monitor water quality in Lake Victoria using satellite-derived environmental data from the European Union's Copernicus Programme. The platform was developed during the Kijani Space Hackathon, where the team finished in third place tackling a challenge focused on sustainable fisheries and the blue economy. Lake Victoria supports millions of people through fishing, agriculture, transportation, and tourism, but has suffered from worsening water quality, algal blooms, and declining fish populations over the years. JONAM integrates variables such as water temperature, turbidity, chlorophyll-a levels, rainfall, and wind speed to continuously analyse conditions across the entire lake. Rather than relying on costly manual sampling, the platform uses machine learning to identify areas where water conditions may become unsuitable for fish before the situation becomes critical.

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