A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot.
about
Towards practical application of sensors for monitoring animal health; design and validation of a model to detect ketosis.Towards practical application of sensors for monitoring animal health: the effect of post-calving health problems on rumination duration, activity and milk yield.Rumination time and monitoring of health disorders during early lactation.Editorial: Precision livestock farming: a 'per animal' approach using advanced monitoring technologies.
P2860
A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot.
description
2016 nî lūn-bûn
@nan
2016年の論文
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2016年学术文章
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2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
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2016年學術文章
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2016年學術文章
@zh-hant
name
A decision-tree model to detec ...... y visits to the milking robot.
@en
A decision-tree model to detec ...... y visits to the milking robot.
@nl
type
label
A decision-tree model to detec ...... y visits to the milking robot.
@en
A decision-tree model to detec ...... y visits to the milking robot.
@nl
prefLabel
A decision-tree model to detec ...... y visits to the milking robot.
@en
A decision-tree model to detec ...... y visits to the milking robot.
@nl
P2093
P2860
P1433
P1476
A decision-tree model to detec ...... y visits to the milking robot.
@en
P2093
P2860
P304
P356
10.1017/S1751731116000744
P577
2016-05-25T00:00:00Z