PestAlert

Inspiration

We are from India where farming is the main occupation for a large part of the population. But the condition of farmers and farming is not very good in this country. They face many problems like low crop prices, pests, diseases, poverty etc. Pests and crop disease are some of the main reasons for low crop yield and it is something we can tackle using the technology present today.

What it does

Its a platform where farmers can post images of their crops and it will tell them is it is diseased or not. It also marks the location of the disease and alerts nearby farmers that there is a new disease in his/her area.

How we built it

We used python to make a deep learning model and we are using deep neural networks to detect diseases. This model then interacts with our backend which is built using PHP. Our frontend is built using ReactJS, we are using Google maps to make an intuitive UI which can show data easily.

Challenges we ran into

We ran into challenges like how to send alerts to farmers who are not registered with our platform as we want to help most of the farmers. On the technical side, we faced problems in hosting the deep learning model but we were able to tackle it.

Accomplishments that we're proud of

Our deep learning model is accurate enough to detect common diseases easily and we are proud of our UI, It is really nice and graphical.

What we learned

We learned about crop diseases first of all. Now for the technological aspect, we learned how to use Google Maps API and we were able to customize the maps accordingly.

What's next for PestAlert

We are looking forward to developing a mobile application that can be easily used by farmers. They will be able to easily capture and send photos as well. We are planning to provide this valuable data to the government So they can help the farmers by providing the right information.

Built With

• javascript
• mysql
• php
• python
• react
• tensorflow
• webpack