How Amul is using AI dairy farming to put 36 million farmers first
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How Amul is using AI dairy farming to put 36 million farmers first

February 23, 20261 views2 min read

Amul, India's largest dairy cooperative, has launched an AI-powered platform called Sarlaben to empower 36 million women milk producers in Gujarat. The initiative represents one of the most ambitious deployments of artificial intelligence in agriculture.

In a groundbreaking move that bridges technology and rural development, Amul, India's largest dairy cooperative, has launched an AI-powered dairy farming platform aimed at empowering 36 million women milk producers across Gujarat. The initiative, featuring an AI assistant named Sarlaben, represents one of the most ambitious deployments of artificial intelligence in agriculture to date.

Revolutionizing Dairy Farming in Rural India

The platform leverages machine learning algorithms to provide personalized guidance to dairy farmers, helping them optimize milk production, identify health issues in cattle, and improve overall farm management. Sarlaben, designed specifically for the needs of rural women, offers multilingual support and is accessible via mobile devices, making advanced agricultural technology available to farmers who may have limited digital literacy.

Key Features and Impact

Amul's AI system analyzes data from various sources including weather patterns, feed availability, and animal health records to deliver actionable insights. The platform also integrates with existing mobile networks, allowing farmers to receive real-time notifications and advice. This technological intervention is particularly significant given the challenges faced by rural communities, including limited access to veterinary services and agricultural expertise.

The initiative not only enhances productivity but also strengthens the economic foundation of rural women, who form the backbone of India's dairy industry. By providing accessible, intelligent farming solutions, Amul is setting a new standard for how AI can be deployed to address real-world agricultural challenges in developing regions.

Source: AI News

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