# Automatic Counting Shrimp Larvae Based You only Look Once (YOLO)
> Armalivia S.

URL kanonis: https://discover.unhas.ac.id/publications/automatic-counting-shrimp-larvae-based-you-only-look-once-yolo
Jurnal / Konferensi: Aims 2021 International Conference on Artificial Intelligence and Mechatronics Systems
Tahun terbit: 2021
DOI: https://doi.org/10.1109/AIMS52415.2021.9466058
Citations: 22

## Authors
- Armalivia S.

## Abstract
Shrimp farming activities can be divided into hatchery and rearing. During the hatchery process, there is an activity of counting shrimp larvae. Currently, the method of counting larvae was still done manually using the sampling method by taking a full cup of shrimp larvae and counting them manually. This process was timewasting and can make the result in miscalculations due to human error. Therefore, this study proposed the You Only Look Once (YOLOv3) algorithm to perform automatic counting of the quantity of shrimp larvae. The results of the YOLOv3 final model show a good performance with a mean Average Precision (mAP) value of 96.83% and an average accuracy value of 76.48%. This YOLO algorithm can calculate shrimp larvae with hight precision.

## Keywords
- Shrimp
- Hatchery
- Larva
- Computer science
- Ichthyoplankton
- Shrimp farming
- Process (computing)
- Fishery
- Sampling (signal processing)
- Artificial intelligence
- Biology
- Computer vision
- Fish <Actinopterygii>
- Ecology
- Aquaculture
- Operating system
- Filter (signal processing)

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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