Attaining Reproductive Solutions through Activity and Health Monitoring
Published:February 21, 2014
Summary
For a variety of reasons estrus detection rates in North American dairy herds based solely on visual observations are usually near the 50 percent range. Most large dairy operations use tail chalk/paint and once daily observation which is usually superior to visual observations but still allows room for improvement with service rates typically in the mid-60 percent range. Low detection rates led t...
Dr. Nebel has given a very good account of the system and its usage and requirement for large scale implementation. National Dairy Research Institute, Karnal India in collaboration with Indian Institute of Technology New Deli has developed accelerometer based Pedometer for dairy cattle and buffaloes for heat detection with very high accuracy and efficiency in heat detection in cattle and work is going on for standardizing the algorithm and technique for heat detection in buffaloes; most of the buffaloes female shows very less intensity of activity during oestrus; which is major drawbacks in implementing AI programme in buffalo improvement programme. As in small holder dairy buffaloes farming system; animals are tethered and it is very difficult to detect heat by visual observation; this system developed by IIT Delhi and NDRI, Karnal is working fine for both cattle and buffaloes. Only problem visualize by the researcher is training the farmers about the usage and interpretation of activity data. To solve the problem; cloud based data collection and interpretation system is under testing for alerting the farmers through SMS about the status of the animals.
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