We are developing an agricultural pest detector. Gardeners and farmers can monitor their plants with a camera, and our model will take in a video and identify which pests have been causing problems to the plant. This will help gardeners and farmers monitor their plant health and respond appropriately to protect their plants.
TLDR: Used for garden plants, finding out which pests have been eating your produce
- Trained model on bugs (using the Agricultural Pests Image Dataset on Kaggle and the Pest Dataset on Kaggle
- Classified the bug in the image
- Returned results to the user through the webapp
- When did the bug appear in the image (time stamp)?
- What bug appeared?
- How do you prevent the bug, or what are ways to deal with it?
First, download node.
Then, while in the frontend folder:
npm i <-- Only need to do this the first time
npm run dev <-- Do this every time you want start up the frontend
Technologies used:
- Javascript/Typescript
- React
- Tailwind
- Vite
- Toastify
- Figma
- Poetry
- node.js
First, install poetry and python (greater than 3.12).
Then, while in backend folder:
poetry shell
poetry install
fastapi dev main.py
Technologies used:
- FastAPI
- Python
- OpenCV
- Roboflow
David Fu: [email protected]
Alice Liu: [email protected]
Wesley Liu: [email protected]
Maxwell Ye: [email protected]