Abstract | ||
---|---|---|
•Infrared reflection system used to estimate fish weight and size.•Seabass dorsal geometrical features and machine learning algorithm used to estimate fish weight.•Introduced system can monitor fish weight remotely, continuously and stress free.•SVMR and RF compared for model development. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.compag.2018.05.025 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Fish sampling,IREF system,Dorsal geometrical features,Machine learning,Seabass (Dicentrarchus labrax, L.),Biomass,Recirculating aquaculture system | Computer vision,Dorsum,Pattern recognition,Support vector machine,Mean squared error,RGB color model,Artificial intelligence,Engineering,Depth map,Coefficient of determination,Random forest,Cross-validation | Journal |
Volume | ISSN | Citations |
150 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. M. Saberioon | 1 | 17 | 4.86 |
Petr Císar | 2 | 25 | 9.86 |