crossrefSensors2024-09-07Cited by 7
Computer-Simulated Virtual Image Datasets to Train Machine Learning Models for Non-Invasive Fish Detection in Recirculating Aquaculture
Sullivan R. Steele, Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good
Artificial Intelligence (AI) and Machine Learning (ML) can assist producers to better manage recirculating aquaculture systems (RASs). ML is a data-intensive process, and model performance primarily depends on the quality of training data. Relatively higher fish density and water…