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