Inspiration
As climate change increases, crop yield and weather become harder and harder to predict. Our application aims to use ML to solve these problems my providing estimates for each of these factors in advance, making it easier for farmers to plan what crops they want to grow.
What it does
We also provide features such as
- Plant disease detection using a CNN
- Ensemble ML predictions for weather and crop yield
- And Firewatch Api, which notifies the farmer if there is a wildfire close to their farm location using GIS apis and web scraping
How we built it
HTML/CSS/JS for front-end, Python, Flask for backend and machine learning
Challenges we ran into
Deploying ML models on Github
Accomplishments that we're proud of
Able to build a full stack web application with intelligent functionalities
What we learned
How to webscrape and use an email API to send emails to registered users.
What's next for Croptimize
Connect with governments to access real-time data
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