The "Intelligent Framework for Crop Data Analytics and Recommender System"
project aims to transform agriculture through data-driven insights and AI
technology. By integrating data from sources like weather, soil, and imagery, the
framework provides valuable insights using advanced analytics. Machine
learning predicts crop yields, diseases, and pests, while an intelligent
recommender system offers personalized advice to farmers. This user-friendly
system, accessible through web and mobile platforms, enhances decision-making
and resource allocation. The project contributes to sustainable agriculture,
ensuring food security for the global population by merging data analytics and AI
in crop management.
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