Skip to content

imdadulhaque1/Publications-1-PapayaDiseaseRecognitionUsingDL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 

Repository files navigation

Title: Deep Learning based Classification of Papaya Disease Recognition.

This is my 1st publication and We have used CNN for disease detection of Papaya. we have achieved 91% accuracy for our desired CNN model.

Available in online

This Publication is available in online by IEEE and please CLICK HERE to show our publication.

Please visit the below link for showing Papaya image dataset

Papaya dataset link

below the acceptance letter of our proposed model.

Screenshot from 2021-01-30 22-42-27

And now, this is Presentation Certificate.

273-2

Referance

M. S. Hossen, I. Haque, M. S. Islam, M. T. Ahmed, M. J. Nime and M. A. Islam, "Deep Learning based Classification of Papaya Disease Recognition," 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India, 2020, pp. 945-951, doi: 10.1109/ICISS49785.2020.9316106.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published