Plants-Disease-Detection-using-Tensorflow-and-OpenCV

Implemented Machine Learning and Artificial Intelligence model to detect the different disease on plants using the images.

High Level Diagram:-

Technology Stack

• Python
• Convolutional Neural Networks (CNN)
• Machine Learning
• AWS Cloud Service
• Flask

Project Execution Video's :-

• Part 1 :-

project_execution_part_1.mp4

• Part 2 :-

project_execution_part_2.mp4

Screenshots of Application and Deployment :-

1) Code :-

• 

2) AWS Console :-

• 

3) Predication :-

• 

How to Use :-

1). Use PlantVillage Dataset from kaggle.

2. Clone Plants-Disease-Detection-using-Tensorflow-and-OpenCV.git

• While cloning this repo please use git-lfs commands.
• Learn More Link :- https://docs.gitlab.com/ee/topics/git/lfs/

3. Use google colab to train model.

4. Use google drive to mount dataset.

5. Directory Structure of Dataset should be as follow:- My Drive/Colab Notebook/Plant Village/disease/<15 different directories obtained from extracting plant Village Dataset>