# 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](#about-the-project)
- [Features](#features)
- [Technology Used](#technology-used)
- [Installation](#installation)
- [Usage](#usage)
- [Contact](#contact)

## 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:
1. Clone the repository: `git clone https://git.fik.upnvj.ac.id/2110511009/Tomato-Leaf-Care.git`
2. Open the project in Android Studio.
3. Build and run the application on an Android emulator or physical device.

## Usage
1. Launch the **TomatoLeafCare** app on your Android device.
2. Capture or upload an image of a tomato leaf.
3. Wait for the app to process the image.
4. 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