2011年
Machine vision based prediction of serum vitamin A level in Japanese black cattle by pupillary light reflex analysis
2011 IEEE/SICE International Symposium on System Integration, SII 2011
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- 開始ページ
- 178
- 終了ページ
- 181
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1109/SII.2011.6147441
To increase the BMS (Beef Marbling Standard) score of Japanese Black Cattle, keeping the cattle serum vitamin A at a low level (30-40 IU/dl) during fattening age is an effective way. The traditional method of monitoring the serum vitamin A level is blood assay. However, it is costly, time-consuming and makes cattle stressful. A new approach by using 2CCD camera is proposed in this study. Pupil reflex of cattle with different vitamin A level was analyzed by image processing. © 2011 IEEE.
- リンク情報
- ID情報
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- DOI : 10.1109/SII.2011.6147441
- SCOPUS ID : 84857554391