2.0 KiB
2.0 KiB
TomatoLeafCare
This application is designed to detect diseases on tomato leaves using a CNN machine learning model with ResNet-50 architecture, specifically for Android devices.
Table of Contents
About the Project
The TomatoLeafCare project aims to help anyone interested in growing tomatoes monitor the health of their tomato plants. This Android-based app makes it easy to identify common tomato leaf diseases by analyzing images uploaded by users. The app provides a quick diagnosis along with recommended treatments to help maintain the health and productivity of tomato plants.
Features
- Disease Detection: The app identifies various tomato leaf diseases based on images uploaded by users.
- Treatment Recommendations: After detecting a disease, the app provides treatment advice to help users manage plant health effectively.
Technology Used
- CNN : Utilizes a CNN model with ResNet-50 architecture for accurate disease detection on tomato leaves.
- RAD Method : The software development methodology used in this project.
- Android Studio : The primary tool for developing Android applications.
- Kotlin : The programming language used to create the application.
Installation
To install TomatoLeafCare, follow these steps:
- Clone the repository:
git clone https://git.fik.upnvj.ac.id/2110511009/Tomato-Leaf-Care.git - Open the project in Android Studio.
- Build and run the application on an Android emulator or physical device.
Usage
- Launch the TomatoLeafCare app on your Android device.
- Capture or upload an image of a tomato leaf.
- Wait for the app to process the image.
- View the disease diagnosis and recommended treatments provided.
Contact
If you have any questions or suggestions, please contact:
Name : Ibnu Naz'm Ar-rosyid
Email : ibnunazm.a11@gmail.com