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I have developed a project using a CNN model to detect diseases in three plants: potato, tomato, and pepper. Despite limited resources, I trained separate models for each disease and successfully integrated them into a Streamlit app. The accuracy achieved on these three plants is remarkably high.

Jupyter Notebook 99.10% Python 0.03% PureBasic 0.87%
ai cnn computer-vision data-science depplearning neural-networks plant-disease-detection python

plant_disease_detection_streamlit_app's Introduction

Plant Disease Detection

Build this application using streamlit library which is detecting 3 plants disease and work perfectly. I have trianed CNN model for each disease using kaggle dataset and then integrate those models in streamlit for realtime use.

Screenshots

App Screenshot

App Screenshot

Demo

You can visit given link to check the application that how it works https://plantdiseasedetectionappapp-7pvuh48449k.streamlit.app/

Installation

First Create new virtual environment

  python -m venv venv

Activate virtual environment

  venv\Scripts\activate

Install all dependencies in requirments.txt file

  pip install -r requirements.txt

Run Application

  streammlit run app.py

Authors

Feedback

If you have any feedback, please reach out to us at [email protected]

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