Can AI Stop Mass Fish Deaths on Lake Victoria?

• An AI-powered monitoring system in Kenya’s Lake Victoria successfully prevented mass fish deaths by alerting farmers to dangerous drops in dissolved oxygen levels.
• The system uses underwater sensors to track water quality, triggering SMS alerts to farmers to reposition cages before fish suffocation occurs.
• Partnerships between the Kenya Marine and Fisheries Research Institute (KMFRI) and ShoShin Innovation Hub developed the technology to address millions of dollars in losses from environmental stressors like agricultural runoff and pollution.

The Problem of Mass Fish Kills

• Between 2024 and 2025, fish deaths resulted in nearly US$1 million in lost stock in the Dunga Beach area.
• KMFRI research links these mortalities to oxygen depletion caused by plankton blooms, excess agricultural runoff, decaying organic matter, and industrial pollution from Kisumu-based factories.
• Farmers previously lacked warning mechanisms, often discovering catastrophic losses only after they occurred.

Technology and Implementation

• Sensors monitor indicators such as dissolved oxygen, temperature, and pH levels, sending data to cloud-based AI models.
• AI-driven alerts provide actionable instructions, such as "slow feeding" or "move cages."
• The government is currently covering system costs, with plans to expand to 15 identified hotspots on Lake Victoria.
• The project aligns with Kenya’s National Digital Masterplan (2022–2032).

Broader Applications and Future Outlook

• WorldFish is partnering with ShoShin to pilot the "E-Samaki" platform on the Kenyan coast, supporting Integrated Multi-Trophic Aquaculture (IMTA) across various marine farming systems.
• Coastal sites face unique challenges, including extreme temperature surges (up to 48°C) and salinity fluctuations due to climate change.
• Data insights are helping build a foundation for potential future insurance products, as the system creates a documented trail of environmental conditions.
• Researchers emphasize that while AI can provide essential early warnings, it must be supported by broader efforts to address industrial pollution and lake degradation.