Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime. It is very obvious that, if we want to minimize world hunger, one has to stop unnecessary food loss due to preventable diseases. We also strongly believe the app will help farmers reducing their CO2 emission and the use of pesticides and fungicides by using the app proactively.
What it does
Our trained algorithm compares the images taken from suspicious plants to both healthy and infected ones. Afterwards it recommends the user about how to deal with the issues. It is especially made for local Ghanians’ who might not have access to the Internet or the advantages our high-tech society has.
How we built it
Challenges we ran into
One big challenge was to train the algorithm in a way that it has a good balance between a high accuracy and still not being overfitted. We had two datasets. Using the first we had a very precision but in the end a very low impact on both environment and economy. However using only the second one may gave us a beneficial effect but with less accuracy. That’s why we decided to use both sets to make our model suitable for more farmers and at the same time generated more training data using costumvision.ai. Nevertheless the most challenging part was making the different models fit and together under our own benchmark of accessibility.
Accomplishments that we're proud of
Our application is usable for a very diverse Ghanian community. We even went some steps further by not only providing helpful information about the diseases themselves in Twi but also speech and non-text based hands-on advices for farmers to prevent their yields from future impacts. Moreover our application is usable.
What we learned
Not everything will work out the way you expect it. The first hours we definitely underestimated the challenge and ran into some huge implementation models. We’d definitely split our time a little bit differently and focus on a minimum value product earlier.
We are already in discussion with enactus-Ghana to get them on board to help us bring the application to the farms and for local support & insights.