GreenWing: Quadcopter-Based Intelligent Irrigation System

Introduction

The overall objective of the project is to make the system work so smoothly that any person without excellent knowledge on agriculture can engage in agriculture effectively which is based on tangible data regarding environmental conditions and irrigation effectiveness to gain a maximum crop yield. The project encompasses several objectives which are very important in agricultural aspects.
• To enhance agricultural efficiency by developing an intelligent irrigation system that optimizes water usage and reduces wastage by delivering water directly to the areas where it's most needed.
• Utilize weather data to ensure that water distribution is precisely matched to the requirements of specific crop species.
• Provide useful information to farmers and agricultural managers to make informed decisions regarding their crops' care.
• Utilize minimum energy resources in an effective way in agricultural practices.

Features
Presentation Video - https://youtu.be/jrrodnyfuZI
Weblink - http://green-wing.scienceontheweb.net/
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https://github.com/DeegayuA/GreenWing/assets/63475473/6aa24a9d-0592-4e56-a6c4-cf141dcea70a

Environmental Monitoring:

Weather station
Crop Detection & Analysis
Computer vision for identifying crop types (chilly plants, others)
Model specifications (e.g., YOLOv8) and its role in customized irrigation
Precision Irrigation
Targeted water delivery based on crop type and sensor data
Irrigation system components (valves, pumps, etc.)
Drone Integration
Limited flight range, safety, and energy optimization considerations
User-Friendly Web Application:
Real-time dashboard with weather and irrigation data
Intuitive controls (if applicable)

Technologies Used
Hardware:
Microcontrollers (e.g., ESP32)
Quadcopter model
Sensors (list by type)
Irrigation hardware
Software
Programming languages (e.g., Python)
Computer vision libraries (e.g., OpenCV)
IoT platforms (if applicable)
Web development frameworks (e.g., React, Django)
Database (e.g., MySQL)

Getting Started
Prerequisites:
Hardware components
Software dependencies
Installation:
Setting up the weather station
Calibrating sensors
Configuring the irrigation system
Deploying the ML model
Launching the web application

Usage

Contributing

Welcome contributions and collaboration. Guidelines for submitting issues and pull requests.

License

Show Your Support

Invite users to star the repository on GitHub if they find GreenWing valuable. Provide links for contact or further information.

Additional Notes