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Data Science in Agriculture

1 July 2025
Blog
Publisher : KnowledgeHut

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This blog post from KnowledgeHut explores the transformative impact of data science on the agriculture sector. It discusses how data analytics, machine learning, and AI are being used to optimize crop yields, predict weather patterns, manage livestock, and enhance overall farm efficiency. The article highlights precision agriculture techniques that rely on data-driven insights to reduce waste, improve resource allocation, and increase profitability for farmers. It showcases the diverse applications of data science in addressing modern agricultural challenges and fostering sustainable practices.

Author(s) :

Kamal Jacob

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Key topics

Rural Development and Agriculture

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Operations and Program Management Technology for Social Change and Organisational Efficiency

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