FISH AGE ESTIMATION FROM OTOLITH CONTOURS AND FISH SCALES USING CONVOLUTIONAL NEURAL NETWORK
Estimating the age of fish is one of the keys to studying fish populations, providing useful knowledge about growth rates, mortality, and maturity ages. For many fish species, hard structures such as otoliths and fish scales can be analyzed to estimate the age of the fish. Generally, expert fish...
Saved in:
Main Author: | Lailani, Ade |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/71891 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
In a pickle: the effects of fish preservation on otolith morphology
by: Wong, Jocelyn Min Yi
Published: (2022) -
Diving into aquaculture fish farming: investigating factors affecting daily growth of barramundi using otoliths
by: Gooi, Jia Yi
Published: (2022) -
Video Based Fish Species Classification Using Convolutional Neural Network
by: Naufal Rachmatullah, Muhammad -
Child detection in videos using age estimation and convolutional neural networks
by: Ricafort, David John
Published: (2018) -
Multiple contour extraction from graylevel images using an artificial neural network
by: Venkatesh, Y.V., et al.
Published: (2014)