Abstract
Abstract Insufficient herd fertility due to poor estrus detection significantly affects the dairy cattle sector. In India, the conventional way of detection relies heavily on herder’s visual surveillance, which makes the quality of estrus detection highly subjective to herder’s experience in identifying estrus signs. This method lacks automation and may not be effective in monitoring larger herds. Current devices used for cattle monitoring are imported, limited in services, and are often expensive. Continuous monitoring also suffers from poor battery life and is a deterrent for wide adoption. A low-cost system with long battery life and real-time monitoring could provide tremendous benefits to the Indian dairy industry. In this context, this paper presents our efforts to develop an IoT-based estrus monitoring and detection system that utilizes ICT technique to provide an effective map of the cattle reproduction phase and identify underlying health issues to determine the wellness of the animal specifically for Indian conditions. The system is developed to adapt to various deployment challenges such as frequent topological changes due to cattle’s mobility, limited power source, and short transmission range of sensors. In this context, the performance of the proposed system has been evaluated through laboratory trials.KeywordsEstrus detectionInternet-of-thingsDairyActivity monitoringPedometers
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