IIIT-A develops smart dairy monitoring system
The system, designed under the leadership of Prof Vrijendra Singh, aims to revolutionise dairy farming by enabling real-time health surveillance of cattle.
This cutting-edge system, which includes setting up video cameras at cow shelters, can detect early symptoms of serious cattle diseases like mastitis, lumpy skin disease and ketosis. By closely monitoring the animals' behaviour and physical movements, the system alerts dairy farmers through mobile notifications if it notices any abnormalities or signs of illness.
Testing of the system is scheduled to begin shortly at selected cow shelters in the region.
A remarkable feature of this system is its video analysis technology that constantly monitors the body language and behavioural patterns of the cattle. It can detect even minor changes in routine, such as lethargy, isolation from the herd, or reduced appetite — often the first signs of illness. This allows timely veterinary intervention and preventive care.
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Prof Singh explained that system operates using a machine learning algorithm trained on thousands of video datasets. It analyses various factors, including cows' walking patterns, feeding behaviour, posture and social interactions. Any deviations from normal are flagged as potential health risks.
The innovation was developed by a dedicated team, including three students from Banasthali Vidyapith — Nivedita Sonkar, Paridhi Chauhan and Anushka Srivastava.
Sonkar said the team is now working on a smart collar technology, which will integrate sensors powered by the Internet of Things (IoT).
These collars will provide comprehensive health data through GPS tracking, accelerometers (for movement analysis), temperature sensors (to detect fever), heart rate monitors and rumination sensors (to monitor digestion). This AI-driven system holds the potential to transform dairy farming by ensuring early disease detection, reducing mortality, and improving overall animal welfare.
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