Name
Title | ||
|---|---|---|
Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices |
Abstract | ||
|---|---|---|
•Existing improved YOLOv3-Lite provides a good balance between the accuracy and speed.•An image enhancement phase is added to adjust for limited light transmission in water.•Data augmentation enhances data information content and avoids over-fitting.•An experimental system is designed, and its cost is analyzed. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115051 | Expert Systems with Applications |
Keywords | DocType | Volume |
Fish behavior detecting,YOLO network,Low-cost imaging system,Smart fish farming,Mixed polyculture system | Journal | 178 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Hu | 1 | 0 | 1.01 |
| Dandan Zhao | 2 | 0 | 1.69 |
| Yanfeng Zhang | 3 | 170 | 15.56 |
| Chengquan Zhou | 4 | 0 | 2.37 |
| Wenxuan Chen | 5 | 0 | 0.34 |