I035

IoT-Based Smart Aquaculture

Wong Wei Han, Tan Wooi Haw, Foo Yee Loo

AFFILIATION
Faculty of Engineering, Multimedia University

Description of Invention

Fish farmers grapple with significant fish loss due to predators damaging aquaculture facilities. Our system, equipped with sensors and actuators, gathers data sent to a cloud platform for real-time analysis. It employs object detection and machine learning to spot threats like birds, humans, and rats. The pretrained human and bird models, along with a 97.4% accurate rat model, enhance its effectiveness. Easily installable in fish farms, this solution boosts productivity and profitability.