Smart Aquaculture with IoT Sensors and AI Forecasting
Faculty of Economics at Sriracha , Sriracha Campus
Details
This project integrated IoT and AI into aquaculture by deploying sensors monitoring DO, pH, temperature, and salinity in fish and shrimp ponds. Real-time data streamed to a cloud platform with AI models detecting anomalies and forecasting water quality shifts, enabling timely feeding and water exchange.
An AI-driven automatic feeder reduced overfeeding and costs. Trials across 50 ponds cut feed use by 18%, boosted survival rates by 22%, and reduced effluent discharge.
First-year results: participating farmers earned 15% higher income, with GHG emissions reduced by 600 tCO2e from feed and pumping energy. The project aligns with SDG 2, SDG 14, and SDG 13, and fulfills 2025 indicators 96, 210, and 111.
Project Evidence & Documentation
Field activity: Smart Aquaculture with IoT Sensors and AI Forecasting
Workshop & outreach: Smart Aquaculture with IoT Sensors and AI Forecasting
ลิงก์ที่เกี่ยวข้อง
- Project page: Smart Aquaculture with IoT Sensors and AI Forecasting
- Summary article: Smart Aquaculture with IoT Sensors and AI Forecasting
Activity Videos
- Presentation video: Smart Aquaculture with IoT Sensors and AI Forecasting
- Short documentary: Smart Aquaculture with IoT Sensors and AI Forecasting
Industry, Innovation and Infrastructure