Data Science in the Indian Agriculture Industry

This article explores the growing role of data science in revolutionizing the Indian agriculture industry. It details how data-driven insights are being utilized to address various challenges, from optimizing crop yield and managing irrigation to predicting market prices and mitigating risks. The piece highlights specific applications such as precision agriculture, disease detection, and supply chain optimization. By leveraging data analytics, Indian agriculture can achieve greater efficiency, sustainability, and profitability, ultimately contributing to food security and farmer welfare.

Author(s) :

Vidhya Chandrasekaran’s, et al

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Rural Development and Agriculture

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