Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems

• Published in: Computers and electronics in agriculture Vol. 205; p. 107644
• Main Authors: Ranjan, Rakesh, Sharrer, Kata, Tsukuda, Scott, Good, Christopher
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2023
• Subjects: Artificial intelligence; Machine learning; Precision aquaculture; RAS; Underwater imaging; Precision aquaculture; Underwater imaging; RAS; Artificial intelligence; Machine learning

•A sensing platform was developed for underwater imagery data acquisition in RAS.•Effect of data quality on the fish detection model performance was investigated.•Sensor selection considerably influenced the model performance.•Light condition did not demonstrate the substantial effect.•Optimized fis...