The aquaculture industry is currently still more labor-culture in Taiwan. The aim of this project was to improve aquaculture industry through Taiwan Productivity 4.0 conception and make aquaculture industry more mechanical and automatic. Finally toward the intelligent production management. The automatic environment control model, water quality monitoring system, feeding systems and management control center were constructed during 2017-2018. The Internet of Things system (IOTs )were induced to our grouper aquaculture factory. Comparison with growth parameters and feeding operation times of three economic marine fish ( Epinephelus lanceolatus , E. fuscoguttatus × E. lanceolatus and Argyrosomus japonicas) under different feeding model. The results indicated the growth parameters of three species were not significantly (P >0.05) different between two culture model, but the feeding operation times was significantly (P<0.05) shorter than artificial model. Finally, we compared with growth parameters and water qualities of Argyrosomus japonicas between automatic system and traditional culture model. The results indicated that automatic system was more fast to improve the water qualities after feeding. The facility of our project will be a indicative for develop the intelligent aquaculture system in the furture.