Application of fuzzy logic for oestrus detection in dairy cows
2001
Firk, R. | Stamer, E. | Junge, W. | Krieter, J. (Christian-Albrechts University, Kiel (Germany))
For different traits different methods of time series analysing are useful for oestrus detection in dairy cows. Acceptable sensitivity can be reached by use of moving average for detection of deviations in activity. The amount of falsely detected oestru's must be reduced, in order to increase the farmers confidence in the decision system. One possibility for improvement of error rate is combination of traits by fuzzy logic. Milk yield, milk flow rate, and electrical conductivity are not able to improve error rate in combination with activity. Further analysis should focus on traits like time since last oestrus. Combining those parameters and activity with fuzzy logic improves accuracy of the decision system
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