Smart Crop Doctor MSD

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  Project Structure

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  Main Structures

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  Output and UI of the project

Inspiration

My father is a farmer, and that is the reason.

What it does

Smart Crop Doctor takes complex soil data (Nitrogen, Rainfall, pH) and uses a Python algorithm to recommend the perfect crop for a farmer to grow. It helps prevent crop failure and increases agricultural efficiency.

How we built it

I used Hex to load a Kaggle agricultural dataset. I wrote Python code to analyze the soil parameters and built an interactive frontend using Hex's App Builder. The app uses Pandas for data processing and Plotly for visualizing rainfall requirements.

Challenges we ran into

Gather all previous data and modify it to provide the correct output.

Accomplishments that we're proud of

What we learned

I learned how to turn a static Python notebook into a fully interactive web application using Hex.

What's next for Smart Crop Doctor MSD

Built With

• kaggleagriculturedata
• pandas
• python