The objective of the project is to identify plant disease by using image of a plant leaf using deep learning model. Currently 5 Plants are supported Apple, Corn, Orange, Potato and Tomato. The Whole project has four components:- Deep Learning(Using Tensorflow), Command Line Interaction(Using ML-HUB), Linux Desktop App(MLHUB backend), and Android App(Tflite backend). This project was initially started as a requirement of the course COM4560(ANU), under the supervision of Prof. Graham Williams.

1) Transfer Learning Based EfficientB2 - 21 Classes
2) Nested Tansfer Learning Based EfficientB2 - 22 Classes

Plant Village Dataset - https://data.mendeley.com/datasets/tywbtsjrjv/1
Banana Leaf images - https://github.com/godliver/source-code-BBW-BBS/

If this repository is useful for your research, please cite as below:

@article{panda2022PlantDis,
  title={PlantDis: A Plant Disease Detector App 
  based on Nested Transfer Learning},
  author={Panda, Saswat and Williams, Graham},
  year={2022},
  repository-link="https://github.com/spsaswat/plantdis"
}