Developing an accessible tool for farmers to identify sick plants with cutting edge technology. Empowering growers and improving agriculture in a time of climate change.
What it does
We built a Machine Learning model with 44,000 training images of both sick and healthy leaves, from various plants. From a photo of a single leaf, it is able to predict whether the plant is healthy or not, and what disease it may carry. Our model achieved accuracy of 95.87%.
How we built it
Challenges we ran into
We had under 48 hours to create a functioning model using tools that were new to us. Finding the appropriate pre-trained model to apply to our case. Making our WebApp user-friendly for the general public.
Accomplishments we are proud of
Our model is doing pretty well and we pulled out a webapp prototype in a short amount of time
What we learned
Collaboration is an important strength for acting up against climate change.