Automated Fish Feeder Device
Hunger Behaviour Classification Of Lates Calcarifer Using Machine Learning For Demand Feeder Through Video Processing. The automated feeder classifies the hunger state of Lates Calcarifer via the integration of computer vision and machine learning. Prior to the classification of the hunger states, the hunger state of the fish is identified and it was established that the hunger state could be demarcated into either ‘Hungry’ or ‘Satiated’. Upon the identification of the hunger state, significant features that could contribute towards the accurate classification.