crop-analysis

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.

Project developed as part of the Artificial Intelligence undergraduate program at FIAP, focused on technology and data analysis applied to agriculture.

AI-enabled agricultural analytics and decision support platform for crop intelligence, state-wise production analysis, interactive visualizations, and data-driven policymaking.

A curated collection of AI, ML, cybersecurity, and web projects by a VIT Bhopal CS student and hackathon enthusiast.

Interactive Crop Production Analysis Dashboard using Python, Pandas, Plotly and Streamlit.

Semantic segmentation model for counting wheat heads in field images, using distance transforms and peak detection to resolve individual heads in dense canopies.