# Automatic measuring shrimp body length using CNN and an underwater imaging system

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-measuring-shrimp-body-length-using-cnn-and-an-underwater-imaging/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pin-Cheng Lai,Hong-Yang Lin,Jui-Yu Lin,Hao-Chun Hsu,Yuan-Nan Chu,Chyng‐Hwa Liou,Yan‐Fu Kuo |
| Citations | 28 |
| DOI | 10.1016/j.biosystemseng.2022.07.006 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4288987511 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Hao-Chun Hsu](https://scholariq.org/researchers/hao-chun-hsu/)

## Paper primary topic

- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)

## Paper topics

- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Fish biology, ecology, and behavior](https://scholariq.org/topics/fish-biology-ecology-and-behavior/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.