GreenShield is an environmental monitoring project focused on detecting poisonous plants and analyzing soil types using drone imagery, AI models, and geolocation data. This repository contains the source code for the GreenShield web platform, which serves as a visualization and analytics interface for environmental data collected through the system.
- Interactive map with geotagged plant and soil data
- Display of toxic plant detections and soil classifications
- Integration with AI models (YOLOv8 + PyTorch/FastAI)
- User-friendly dashboard for researchers, farmers, and environmental agencies
- Responsive design, optimized for desktop and mobile
- HTML, CSS, JavaScript
- Leaflet.js (for mapping)
- Chart.js (for data visualization)
GreenShield/
├── index.html
├── Blurp(eng).html
├── Slurp(eng).html
├── Mobile(plants).html
├── Mobile(soil).html
├── Phone1.html
├── greenshield/ # Asset directory
│ └── images/
GreenShield is designed to support agricultural monitoring and land conservation efforts. It is a part of a larger system including a drone-based image acquisition unit, a mobile app for field alerts, and an AI model backend that classifies plant species and analyzes soil conditions.
This project is licensed under the MIT License. See the LICENSE file for details.
For questions, feedback, or collaboration, open an issue or contact via GitHub:
GreenShield Issues