Professor Ying-Jer Huang leads a cross-disciplinary collaboration between the faculty team of the Department of Computer Science and Engineering and the faculty of the Department of Marine Sciences at National Sun Yat-sen University. The team has conducted smart aquaculture management verification throughout the entire growth cycle of white shrimp in the aquaculture ponds of the College of Marine Sciences at National Sun Yat-sen University, as well as in private aquaculture farms in eastern and southern Taiwan, and has twice assisted operators in detecting abnormal conditions of shrimp at the bottom of the ponds from underwater observation images for early treatment. This achievement has been reported by the media and has attracted attention and inquiries from more than 30 companies (including aquaculture farms, solar photovoltaic plants, equipment manufacturers, biotechnology companies, and cloud service providers).

Through highly sensitive underwater camera systems, automatic infrared observation, remote automatic feeding APPs, and the integration of AI, the team transforms decades of valuable aquaculture experience of fishermen, using technology to assist fishermen in smart management.

SEEWHAT SMART TECHNOLOGIES LTD. elevates traditional aquaculture management methods into smart management, easily achieving round-the-clock observation of actual aquaculture conditions through remote monitoring. It utilizes AI smart biometric identification technology to collect biological information data, such as shrimp length, shrimp gland conditions, and residual bait conditions, to analyze multiple types of data and detect abnormal conditions early, while also allowing the discovery of abnormal changes through historical chart data to precisely locate problems.
(The content above was translated by AI.)