Bass Fish Measurement System (Bass)
The measurement of fish length is an essential factor in aquaculture sector since it is used for a variety of purposes, including monitoring, and determining fish development, gender, age, and reproduction. Till now, businesses that specialise in fish farming utilise measuring boards made of wood...
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| Main Author: | |
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| Format: | Final Year Project Report / IMRAD |
| Language: | en en |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/43019/1/Nadzirah%20Irfani%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/43019/2/Nadzirah%20Irfani%20%28Fulltext%29.pdf http://ir.unimas.my/id/eprint/43019/ |
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| Summary: | The measurement of fish length is an essential factor in aquaculture sector since it is used
for a variety of purposes, including monitoring, and determining fish development,
gender, age, and reproduction. Till now, businesses that specialise in fish farming utilise
measuring boards made of wood or acrylic plastic. However, this conventional technique
puts the fish through a great deal of strain when measuring their length while they are still
alive. In addition, utilising a measuring board to manually measure the length of each
fish, one at a time, is a time-consuming process. This process will acquire high cost,
manual labour and expert knowledge for the measurement process. Hence, this project
presents an intrusive method for measuring the length and weight of Asian sea bass (Lates
Calcarifer) using image processing and statistical analysis for measurement data study.
This Bass Fish Measurement System was developed to measure the fish length and weight
while estimating its age accurately. The BASS was designed by using an image
processing tool which consists of data acquisition, image pre-processing, and
measurement in Python with OpenCV library. The dataset image used in BASS was
collected from Stesen Perikanan Darat Samariang Batu. The image acquisition and image
pre-processing consist of pre-treatment, segmentation, and feature extraction stages.
Further analysis was carried out to compare the estimated measurement with the exact
measurement. The lateral view was chosen as it more accurate in term of total percentage
error, Mean Absolute Error and Root Mean Square Deviation for length, weight, and age
respectively in the three cases. Therefore, this BASS project will have an efficient and
accurate data result for future analysis or research on fish measurements. |
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