DocumentCode
3264191
Title
Machine vision based prediction of serum vitamin A level in Japanese Black Cattle by pupillary light reflex analysis
Author
Han, Shuqing ; Kondo, Naoshi ; Fujiura, Tateshi ; Ogawa, Yuichi ; Takao, Yoshie ; Tanigawa, Shinya ; Fukushima, Moriyuki ; Watanabe, Osamu ; Kohama, Namiko
Author_Institution
Grad. Sch. of Agric., Kyoto Univ., Kyoto, Japan
fYear
2011
fDate
20-22 Dec. 2011
Firstpage
178
Lastpage
181
Abstract
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.
Keywords
CCD image sensors; computer vision; farming; iris recognition; BMS score; CCD camera; Japanese black cattle; beef marbling standard; blood assay; cattle serum vitamin A level monitoring; fattening age; image processing; machine vision based prediction; pupillary light reflex analysis; time consumption; Blood; Cameras; Color; Correlation; Cows; Light emitting diodes; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
System Integration (SII), 2011 IEEE/SICE International Symposium on
Conference_Location
Kyoto
Print_ISBN
978-1-4577-1523-5
Type
conf
DOI
10.1109/SII.2011.6147441
Filename
6147441
Link To Document