Crop Classifier - 20

Inspiration

I enjoy working with agriculture data.

What it does

Recommends what crop you should farm based off of soil metrics and weather.

How we built it

I used python to write the model. The libraries I used were numpy, pandas, and sklearn.

Accomplishments that we're proud of

Proud of building model in a face pace environment.

What's next for Crop Classifier

Making it front-end friendly for farmers to input their values easily.

As we more collect data, we can consult with farmers on farming tactics: What crop they should produce based on input. How much water they would need to produce a crop efficiently. The time of year to produce a certain crop efficiently. Whether there soil is too acidic or basic for a crop. If they would need to change the ratio of N,P, and K in soil.

Built With

• machine-learning
• pandas
• python
• sklearn