Samhitha, a dairy technology
student, attended a 'National Mastitis Council' as part of her college
educational trip. Delegates from around the world, along with local dairy
farmers, gathered to discuss mastitis. However, Samhitha was intrigued not by
the mastitis discussions but by the farmers' constantly beeping phones,
displaying messages from their cows.
Perplexed, she peeked at a
farmer's phone that showed a message from "cow 2." Surprised, she
inquired, and the farmer explained it was a text from his cow. Initially
sceptical, Samhitha learned that it was part of precision farming, termed
"Texting cows." This technology, employed by dairy cooperatives,
utilizes smart collars for cows, providing real-time health data to farmers
through wireless communication.
Curious to understand the
mechanics, Samhitha questioned the farmer further. Milking robots streamline the process for large-scale farmers, while individual farmers use intelligent
collars. These collars monitor various aspects, from milk yield to mastitis
infection, sending critical information directly to the farmer's phone.
The farmer explained that this
technology offered significant benefits. Farmers could set up alerts for
distress, heat cycles, or labour, enhancing cow health monitoring. Timely
detection and treatment of illnesses prevented their spread, positively impacting
milk yield. The collar, sensing the cow's head position, could detect early
signs of sickness.
Milk analysis, including fat,
protein, and lactose content, was another valuable aspect. Notifications about
decreased milk yield triggered alerts for farmers to investigate potential
issues promptly. The collar's sensor also detected heat cycles, optimising insemination processes and increasing pregnancy rates.
The impact was evident in
Chitale Dairy, Maharashtra, producing 400,000 litres of milk daily. Despite a
consistent number of cows, milk productivity surged from 350,000 to 750,000
litres daily by 2023. QR tags for cows enhanced transparency in buying and
selling by providing pedigree information to buyers. Hatsun, India's largest
dairy operation with 220,000 cows, also embraced this technology.
However, the farmer
acknowledged the challenges. The initial implementation cost was high, and there
was a learning curve for farmers and veterinarians. Technical expertise and
specialised equipment were necessary, posing feasibility issues for all
farmers. AI algorithms could make mistakes, potentially leading to unnecessary
treatments or stress for animals. Moreover, the use of AI might result in job
losses, replacing manual monitoring by farmers and veterinarians.
In conclusion, the farmer emphasized the positive impact on cost savings and affordable food. Samhitha returned to her university armed with knowledge of the transformative use of technology in dairy farming, recognizing both its benefits and challenges.
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