Smallholder farmers are increasingly exposed to weather extremes but lack access to affordable insurance products to protect their livelihoods from catastrophic crop damage.
Picture-based insurance (PBI) improves crop insurance for small-scale farmers around the world, where images from a smartphone camera keep a record of a crop’s growth and record any damage events that will affect insurance payouts. PBI is a great way for insurers to verify events and monitor crop growth.
What it does
In this project, I automate one part of the data processing pipeline which is estimating the growth stage of a wheat crop based on an image uploaded by the farmers. My model takes in an image and outputs a prediction for the growth stage of the crop sown, on a scale from 1 (crop just showing) to 7 (mature crop).
How we built it
I choose to build my AI model using Peltarion. I used the pre-trained restnet152 model. When training the model, the root mean square error was 0.43 for the best model in a test dataset. My model reached an accuracy of 76% on the test dataset - it definitely needs more training
Challenges we ran into
the most difficult is find Dataset and intergrating frontend with api calls finally I find data from Zindi and build my model and 2nd is figure out which model to choose finally I choose Resnet152 which is really good
Accomplishments that we're proud of
learn about how to integrate various system together like machine model, deployments and use it via APIs which makes it accessable to everyone
What we learned
learn a lot about APIs and nodejs
What's next for Picture based insurance- PBI
In India, where I am from, agriculture is a billion-dollar industry. There are about 100 million farmers and if only 10% of those (around 10 million) would buy this service for their crop insurance for $20 a month, this would result in $250.000 in revenue just from one country, one month. So, in one year that would result in $30 million in revenue. Since the cost of training the AI model would add up to about $10.000 to $20.000 a year, the profit margin looks very promising.
I believe that this is just the beginning of a super cool product. I discussed this with my father who is doing some farming, and he really thinks it has great potential. My grandparents were part of a village where agriculture played a major role in their community, at times the only source of income.
so this is win-win for everyone I hope I win this hackthon and give back to my community