Plant Leaf Disease Detection using Deep learning algorithm
MODULES
The modules included in our implementation are as follows
- Dataset collection
- Data pre-processing
- Training and prediction using Regression Models
DATASET COLLECTION
The dataset is downloaded from kaggle.com with two classes ‘healthy’ and ‘diseased’. The dataset contains plant leaf image with training set and test set folders.
The dataset variable names are described below
| Variable name | Attribute Description |
| Class | Binary class ‘healthy’ and ‘diseased’ |
| Training set | 364 images in diseased 388 images in healthy |
| Test set | 60 images in diseased 60 images in healthy |
Project Demo Video
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