This project aims to compare the performance metrics of DenseNet201 and a hand-curated CNN using Keras in the classification of plant diseases.
To view the paper publication on IRJET Journal, click here. The paper is also available in the root of main branch in this repository in PDF format.
Authors:
- Jupyter Notebook / Google Colaboratory
- Python 3.x (if running on local)
- TensorFlow 2
- NVIDIA Graphics Card, CUDA Drivers, cuDNN Library [Optional]
- PlantVillage Dataset [Click Here]
Clone this repository first:
$ git clone https://github.com/saaivignesh20/plant-disease-classification.git
If you don't have Jupyter Notebook or Python installed you can download using Anaconda.
Or if you are an advanced user download and setup Python on your system.
- For Windows, click here.
- For Ubuntu/Debian-based operating systems:
Run this in the terminal:
$ sudo apt-get install python3
To download and install Jupyter Notebook:
$ python -m pip install jupyter
To download and install TensorFlow 2:
$ python -m pip install tensorflow
To launch Jupyter Notebook
$ jupyter notebook
Finally open the notebook from this repository.