|
Detection of shrimp feed with computer vision |
|---|---|
| รหัสดีโอไอ | |
| Creator | Nitthita Chirdchoo |
| Title | Detection of shrimp feed with computer vision |
| Contributor | Weerasak Cheunta |
| Publisher | Nakhon Pathom Rajabhat University |
| Publication Year | 2562 |
| Journal Title | Interdisciplinary Research Review |
| Journal Vol. | 14 |
| Journal No. | 5 |
| Page no. | 13 |
| Keyword | Shrimp food detection, shrimp farming, feeding tray, aquaculture |
| URL Website | http://dept.npru.ac.th |
| Website title | สถาบันวิจัยและพัฒนา มหาวิทยาลัยราชภัฏนครปฐม |
| ISSN | 2697-522X |
| Abstract | In smart shrimp farming system development, while many works have been focusing on developing an e ective water qualitymonitoring system, little attention has been paid on an automated feeding system. Ideally, an e cient feeding system shouldnot only be able to feed automatically, but also should be able to determine and adjust the suitable amount of food at each feed.This is to save the cost from overfeeding and labor usage, as well as to achieve high shrimp growth rate. This paper proposed asimple and low-cost shrimp food pellet detection algorithm that utilized the technique of 2D-histogram and color space analysisto detect the amount of unconsumed feed left on the feeding tray. The result provided useful information on how to adjust theamount of food in the next feed. The algorithm was developed using color segmentation on three di erent color spaces: HSL,LAB, and YCrCb. Experimental results confirmed that the proposed algorithm can e ectively determine the amount of foodpellets on the feeding tray. |
