Abstract:

Abstract The surroundings of cattle and the amount of grain that each cow consumes both affect the health of the cows and their ability to produce milk. Monitoring the feed intake condition of cows, together with cattle movement, are the two factors that make it difficult to identify and treat diseased cows early. Dairy farms aren't automated in places like India. Additionally, the cattle are scarce and graze in open areas. Tracking the movement of the cattle is therefore crucial. The goal of this study is to create an automated KAMADHENU neck band which monitors feed intake, cattle behavior, global positioning and real time location of dairy farm cows.  The KAMADHENU automated monitoring system analyses the sensor data for the cows' temperature and pulse before determining whether the cows are healthy or not.  The KAMADHENU measures cow’s behavior and records its activities under farm conditions with the advantage of small size, light weight and low power consumption sensor based electronic device. The overall performance of the proposed system is based on Node microcontroller and sensors. The KAMADHENU neck band performs better with accuracy greater than 90%.  Further, in context to the Indian scenario the proposed system represents a better performance over existing systems and evaluation methods.

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