Foligram.com

Guide a user through a protocol for taking a single leaf image; acquire a picture of a leaf through a smartphone camera; use the colors in the photo to calculate the area of the leaf and determine the fraction of the leaf that has been injured by ozone. Try it now!

Awards

We won the local Montreal competition because the product is completed, live and easy to use. We were able to show and collect really useful data and we're all commited to keep working on the app to make it more awesome and useful.

Who are we?

Our team is made of experienced developers and astronomy enthusiasts sharing the same passion for space and technology. We believe that our three background combined gives us the edge we need to complete this challenge and deliver a great product and hepling this planet-wide cause.

Live Example

Take a look at http://www.foligram.com

How it works

1. The user photograph a leaf and tweet it to @foligram
2. We send back a tweet to the user with the link to the leaf page

Meanwhile...

1. We save the image and extract the GPS location (if any)
2. We process the image to find ozone related injuries
3. We build a page with all the data and include a survey

Afterwards...

1. Users clean the data by filling the survey
2. We collect the user's inputs and build a classifier
3. We use the classifier to improve results of our image processing

How does it really works ?

More information here http://www.foligram.com/how-it-works

Project Information

Resources