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Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
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Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
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Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection

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Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection
Journal Article

Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection

2016
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Overview
Dairy cows are high value farm animals requiring careful management to achieve the best results. Since the advent of robotic and high throughput milking, the traditional few minutes available for individual human attention daily has disappeared and new automated technologies have been applied to improve monitoring of dairy cow production, nutrition, fertility, health and welfare. Cows milked by robots must meet legal requirements to detect healthy milk. This review focuses on emerging technical approaches in those areas of high cost to the farmer (fertility, metabolic disorders, mastitis, lameness and calving). The availability of low cost tri-axial accelerometers and wireless telemetry has allowed accurate models of behaviour to be developed and sometimes combined with rumination activity detected by acoustic sensors to detect oestrus; other measures (milk and skin temperature, electronic noses, milk yield) have been abandoned. In-line biosensors have been developed to detect markers for ovulation, pregnancy, lactose, mastitis and metabolic changes. Wireless telemetry has been applied to develop boluses for monitoring the rumen pH and temperature to detect metabolic disorders. Udder health requires a multisensing approach due to the varying inflammatory responses collectively described as mastitis. Lameness can be detected by walk over weigh cells, but also by various types of video image analysis and speed measurement. Prediction and detection of calving time is an area of active research mostly focused on behavioural change.