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Behavior classification of dairy cows fitted with GPS collars
Precision management systems for livestock offer the potential to monitor and manage animals on an individual basis. A key component of these sensor based systems are the analytical models that automatically translate sensor data into different behavioral categories.
Here we consider the use of GPS data for modelling the behaviour of dairy cows. The performance of this approach is validated across a study involving 24 Holstein-Friesian dairy cows that were each fitted with a GPS unit on a neck collar. The behavior of the cows are classified into 4 general classes: grazing; moving from paddock to paddock; milking; and resting. Using simple rules derived from prior information about the behavior of dairy cows, and information about the layout of the farm, the classification was substantially improved.
The utility of a log of animal behaviour will increase when joined with other data (milk yield, for example) and has the potential to provide useful in animal management, obtained at little cost
Publication titleLecture Notes in Computer Science
Department/SchoolTasmanian Institute of Agriculture (TIA)
Place of publicationUnited States