realtechz/Leaf_Master

Leaf-Disease-Classifier

• Leaf Disease Classifier classifies disease based on image processing techniques for automated vision system used at agricultural field.

• The classifier is trained on the dataset found at

  • https://www.kaggle.com/emmarex/plantdisease
  • https://github.com/spMohanty/PlantVillage-Dataset

• You can find model weights here:

  • Model with weights : https://drive.google.com/file/d/1al0dZHeRtE0EqdEBbSaUQbTLUdEPKqJb/view?usp=sharing
  • Only weights : https://drive.google.com/file/d/1al0dZHeRtE0EqdEBbSaUQbTLUdEPKqJb/view?usp=sharing

Deep Dive into Concepts

• Disease Classifier
• How To Train
• Run Model

Disease Classifier

The whole disease classification process is divided into 2 stages as in

• 8 CNN classifiers are trained to identify the diseases of each of the 8 plant classes. The result from stage 2 is used to call the classifier that has been trained to classify the different diseases for that plant. If there are none, the leaf would be classified as 'Healthy'.

• All the above CNN's are trained on a Deep Residual Network- ResNet-50 Architecture using "Transfer Learning" from the ImageNet weights.

• Frameworks used : Keras

How-To-Train:

• Every leaf has its own model so you can train them sperately and test them.
• there is a main classifier model which will take time to train.
• quick tip delete the model from the model folder to train.

Run Model

• Download weights from links given
• place them in a folder Best_model and Best_weights
• To run and setup the model, you’ll need at least OpenCV 3.4.2.
• Every thing is in one file show just run all cells