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403020

Plant Care and Disease Detection Using Pattern Recognition

Article

Last updated: 07 Jan 2025

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Abstract

The well-being of plants is paramount for maintaining a healthy environment and sustaining life on Earth. In this study, we developed a mobile application called "Plant Care and Disease Detection Using Pattern Recognition" to address these challenges. The application uses a deep learning model based on Convolutional Neural Networks (CNN) to analyze plant leaf images and determine the presence of diseases with 97% accuracy and an F1-score of 98%. The app connects to a pre-trained model with 37 classes, including 13 different plant diseases and healthy plants, totaling 125,319 images. Users can scan a plant leaf with their mobile device's camera, and the model provides a diagnosis or confirms that the plant is healthy. The app schedules watering and fertilizing tasks based on specific plant needs, with notifications to remind users of care times. Additionally, the app uses Firebase for authentication and Firestore for database management, allowing users to sign up, create profiles, and recover passwords if forgotten. This application improves plant care by offering a reliable solution for disease detection and care scheduling. The broader implications suggest that this technology can support sustainable agricultural practices and contribute to global environmental efforts by reducing the need for chemical treatments through early detection. Ultimately, the "Plant Care and Disease Detection Using Pattern Recognition" app showcases how deep learning can transform plant care, fostering a healthier plant ecosystem and benefiting individual gardeners, the agricultural sector, and the broader environment.

DOI

10.21608/iiis.2025.292069.1004

Keywords

Plant disease detection, CNN, Flutter application development, Firebase, Deep learning

Authors

First Name

Abdelrahman

Last Name

Hamdy

MiddleName

-

Affiliation

Dept. Information Systems,Collage of Inforamtion Technology, Misr University for Science and Technology, Giza,Egypt

Email

89676@must.edu.eg

City

-

Orcid

-

First Name

Piere

Last Name

John

MiddleName

-

Affiliation

Dept. Computer Science,Collage of Information Technology, Misr University for Science and Technology Giza,Egypt

Email

94065@must.edu.eg

City

-

Orcid

-

First Name

Yousab

Last Name

Mena

MiddleName

-

Affiliation

Dept. Computer Science,Collage of Information Technology, Misr University for Science and Technology, Giza,Egypt

Email

94095@must.edu.eg

City

-

Orcid

-

First Name

Mohab

Last Name

Mohamed

MiddleName

-

Affiliation

Dept. Computer Science,Collage of Information Technology Misr University for Science and Technology Giza,Egypt

Email

94267@must.edu.eg

City

-

Orcid

-

First Name

Kerolos

Last Name

Ashraf

MiddleName

-

Affiliation

Dept. Information Systems,Collage of Information Technology, Misr University for Science and Technology Sohag,Egypt

Email

94189@must.edu.eg

City

-

Orcid

-

First Name

Khaled

Last Name

Abd El-Salam

MiddleName

-

Affiliation

Head dept. Inforamtion Systems,collage of Information Technology, Misr University for Science and Technology Giza,Egypt

Email

khaled.abdelsalam@must.edu.eg

City

-

Orcid

-

First Name

Shaimaa

Last Name

Bahaa

MiddleName

-

Affiliation

Dept. Computer Science,Collage of Information Technology, Misr University for Science and Technology Giza,Egypt

Email

shimaa.nasr@must.edu.eg

City

-

Orcid

-

First Name

Ahmed

Last Name

Abdallah

MiddleName

-

Affiliation

Dept. Computer Science,Collage Of Information Technology, Misr University for Science and Technology Giza,Egypt

Email

ahmed.asoliman@must.edu.eg

City

-

Orcid

-

Volume

2

Article Issue

1

Related Issue

52805

Issue Date

2025-01-01

Receive Date

2024-05-23

Publish Date

2025-01-01

Online ISSN

2682-258X

Article File

IIIS4030201735682400.pdf

PDF . 1.1MB

Link

https://iiis.journals.ekb.eg/article_403020.html

Detail API

http://journals.ekb.eg?_action=service&article_code=403020

Order

2

Type

Original Article

Type Code

3,047

Publication Type

Journal

Publication Title

International Integrated Intelligent Systems

Publication Link

https://iiis.journals.ekb.eg/

MainTitle

Plant Care and Disease Detection Using Pattern Recognition

Details

Type

Article

Created At

07 Jan 2025