An Agriculture Assistant - Comes with an AI model, along with a website to make the task of monitoring crop produce and quality easier, faster and better for the farmers.
- The main.py file consists of the AI Model used for recognizing different varities of crop being produced.
- The Crop_Details.csv file consists of all crop names, used while training the AI model to recognize different varities of crops.
- The dataset has been taken from kaggle, hence all the paths in the Crop_Details.csv file are according to that.
- To run this model on your device, ensure you have python installed with all the required dependencies mentioned in the requirements.txt file.
Hello and welcome! We are so glad that you are interested in contributing to the Crop Recognition System ! We only have a couple of rules and we hope you enjoy the process :)
- Don't move or delete any files. Only modify them.
- Put all CNN Model related codes in the main.py file. \
- Fork the repository
- Clone your forked repository to your computer
- Head to the issues tab and look for an issue that you like.
- Once you have decided what issue to work on, give it a shot!
- Once done, push the code to your forked repository.
- Head to the Pull Requests tab and click on "Create New Pull Request"
- On the left of the arrow should be this repo and on the right should be yours.
- Add a small description to the Pull Request describing what you've done.
- Mention what Issue you have worked on. If the issue number is #3, you can mention "Closes #3" in the Pull Request description.
- Submit Pull Request
It's that easy! We hope you enjoy contributing to our repository. Don't hesitate to contact any of the maintainers about any problems!