I'm currently putting the finishing touches on the detailed breakdown for AI-Powered Agricultural Surveillance Drone. Stay tuned for a deep dive into the technical challenges, architecture, and solutions implemented in this project!
Documentation of AI Drone
AI Drone for Farm Surveillance
An autonomous surveillance system that blends Deep Learning with Robotics to revolutionize crop management. Using custom-trained datasets, the drone identifies plant diseases in real-time, descends for detailed verification, and alerts farmers with precise visual diagnostics—reducing crop loss through immediate, AI-powered intervention..
Features
- Autonomous Flight: Flies over fast agricultural areas to monitor crop health autonomously.
- Disease Detection: Uses computer vision to identify potential defects and diseases from plant images.
- Real-Time Alerts: Automatically sends a visual diagnosis and alerts directly to the farmer's mobile device.
Tech Stack
- AI & ML: CNN, Pytorch, TensorFlow, OpenCV, Python.
- Frontend: html5
- Hardware: High-resolution cameras and advanced drone flight controllers.