Automatic pig selection system based on body size using a camera: rotating mechanics for pig selection
| Autor: | Kumiko Yoshida, Khin Dagon Win, Kikuhito Kawasue, Geunho Lee |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
0206 medical engineering Sorting 02 engineering and technology Body size 020601 biomedical engineering General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Weight estimation Artificial Intelligence Pig farms Biological system 030217 neurology & neurosurgery Selection (genetic algorithm) Labor cost Selection system |
| Zdroj: | Artificial Life and Robotics. 26:155-161 |
| ISSN: | 1614-7456 1433-5298 |
| DOI: | 10.1007/s10015-020-00654-y |
| Popis: | Since the delivery of different pig sizes at a same time leads to loss profits, the management of pigs to be grown up uniformly is an important task in pig farms. Therefore, automatic sorting system of pigs by size has been introduced. In our proposed system, camera is used to measure the size of pigs. Camera detects the image of a pig and pig’s size is estimated using computer vision technique. The estimated size is used to select the adequate foods for the pig. The novel mechanism that leads the pig to the adequate direction for the feeding is introduced. The proposed mechanism works robustly in the poor environment of a pig farm. It works satisfactorily without disturbing the feeding cycles of pigs in the farms. The system reduces the labor cost and enables the efficient feeding cycles on considering the size of a pig. The weight is also estimated from the size. Experimental result shows the performance of the weight estimation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink