https://github.com/karlmacas29/cropsight-capstone-main

Capstone Project 2024-2025
https://github.com/karlmacas29/cropsight-capstone-main

flutter image-processing insect-pests mobile-app python rice-diseases sqflite-database

Last synced: 3 months ago
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Capstone Project 2024-2025

• Host: GitHub
• URL: https://github.com/karlmacas29/cropsight-capstone-main
• Owner: karlmacas29
• Created: 2024-08-05T14:34:53.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-26T08:19:32.000Z (about 1 year ago)
• Last Synced: 2025-05-26T09:52:53.920Z (about 1 year ago)
• Topics: flutter, image-processing, insect-pests, mobile-app, python, rice-diseases, sqflite-database
• Language: Dart
• Homepage:
• Size: 60.7 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

![logooff](https://github.com/user-attachments/assets/8d369db8-8f4f-4be0-a2b9-95e66f378fec)

# Cropsight - A image processing for identify rice crop pest damages

- Offline/Online Mobile app

- This is a capstone project in third year to fourth year

# 

![Android](https://img.shields.io/badge/Android-3DDC84?style=for-the-badge&logo=android&logoColor=white)

![Flutter](https://img.shields.io/badge/Flutter-%2302569B.svg?style=for-the-badge&logo=Flutter&logoColor=white)

![Supabase](https://img.shields.io/badge/Supabase-3ECF8E?style=for-the-badge&logo=supabase&logoColor=white)

![SQLite](https://img.shields.io/badge/sqlite-%2307405e.svg?style=for-the-badge&logo=sqlite&logoColor=white)

![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white)

![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

# Objectives

- Develop a mobile app to predict crop insect infestations by analysing disease or damage caused by pests like stem borers, rice bugs, leafhoppers, and leaf folders using MobileNetV2.

- Provide an insect list with detailed information to enhance users’ knowledge of insects.

- Choosing an option manually based on the barangay in panabo, such as Southern, Consolacion, Quezon(Cabili), and Nanyo.

- Provide history reports that display the number of insects most commonly attacking crops.

## Screenshots









## Run Project Locally

Make sure it required install flutter cli and android studio with java

1. Clone flutter project

```bash

  git clone https://github.com/karlmacas29/cropsight-capstone-main.git

```

2. Access in folder

```bash

  cd cropsight-capstone-main

```

3. Get all package

```bash

  flutter pub get

```

4. Run 

```bash

  flutter run

```

## For MobileNetV2 Export with Tensorflow Lite

Link for [InstectMobileNetV2TrainVal](https://drive.google.com/file/d/1F6Kq0fs7kk2dpAyP8rUzkYAQ1LpJ2ZN8/view?usp=sharing)

## Members

- Flaven Charles Llanes

- Kian Cusperos

- Karl R. Macas

- Jhonry Sala