Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11019833 | Biosystems Engineering | 2018 | 8 Pages |
Abstract
To help Japanese black cattle farmers diagnose vitamin A deficiency (VAD) levels in cattle, eye images of 40 cattle were recorded monthly during their vitamin A manipulated period using a 2-CCD camera. Ocular features extracted from images, including pupil colour, pupillary light reflex and light reflection, were investigated. Multivariate classification methods (SIMCA and PLS-DA) were used to classify cattle into mild, moderate and severe VAD groups. Five variables (r, I, CA, IPR, I_RFL) were used for classification. The mild and severe VAD groups could be classified with over 85% correct classification rate. However, the moderate VAD group could not be discriminated adequately. A VAD index was developed and proven to be effective in representing VAD status. The results showed the potential for ocular changes to be utilised as an aid to farm management.
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Authors
Shuqing Han, Naoshi Kondo, Yuichi Ogawa, Tetsuhito Suzuki, Moriyuki Fukushima, Namiko Kohama, Tateshi Fujiura, Jianhua Zhang, Fantao Kong, Jianzhai Wu,