Skip to content

The Potato Disease Classification project aims to develop an efficient model using Convolutional Neural Networks (CNN) and TensorFlow to accurately identify and classify diseases affecting potato plants.

Notifications You must be signed in to change notification settings

annie-hola/potato-disease-classify

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Potato Disease Classification

The Potato Disease Classification project aims to develop an efficient model using Convolutional Neural Networks (CNN) and TensorFlow to accurately identify and classify diseases affecting potato plants. The project focuses on leveraging deep learning techniques to enhance the early detection of diseases, thereby contributing to more effective crop management and increased agricultural productivity.

Installation

Install potato-disease-classify with npm

Run Frontend

    cd potato-disease-classify/frontend
    npm install
    npm run dev

Run API

    cd potato-disease-classify/api
    pip install -r requirements-txt
    uvicorn main:app --reload --host 0.0.0.0

Data

https://www.kaggle.com/datasets/arjuntejaswi/plant-village

Demo

Insert gif or link to demo

🛠 Skills

  • Javascript, HTML, CSS, ReactJS...
  • FastAPI
  • Tensorflow, CNN
  • Google Cloud Platform - Cloud Storage , Cloud Run

About

The Potato Disease Classification project aims to develop an efficient model using Convolutional Neural Networks (CNN) and TensorFlow to accurately identify and classify diseases affecting potato plants.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages