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sugarcane

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Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.

  • Updated Apr 21, 2026
  • HTML

A Python-based data analysis project exploring sugarcane production across countries. The project includes data cleaning, exploratory analysis, visualizations using Seaborn and Matplotlib, and correlation analysis to uncover patterns and insights in the dataset.

  • Updated Jan 21, 2026
  • Jupyter Notebook

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