Create model which when give an image of a crop infested with disease its able to detect which type of disease

Download Anaconda for your the specific platform

Create conda environment for Python3

conda create -n "environment_name" python=3.7

Activate the environment.

conda activate environment_name

Clone the repo

https://github.com/r-wambui/Agro-detect-model.git

Navigate to the root folder

cd Agro-detect-model

create a data directory

mkdir data

• Download the dataset here. I'm using the dataset without augmentation and uzip the files.

• Rename the folder to dataset.

• We need to split this dataset into train and test. On the terminal run

python split_data.py

• This will create two folders train and val.

• Run jupyter notebook then open Agro-detect.ipynb

• You can now interact with the model and follow the tutorial Build a Simple Crop Disease Detection Model with PyTorch.