Farmer Motion Farmer Motion is a lightweight Python library designed to analyze and visualize motion patterns of farming equipment in agricultural fields. With Farmer Motion, users can easily track the movements of tractors, harvesters, and other machinery, providing valuable insights into field operations and efficiency.

Features Motion Tracking: Farmer Motion utilizes advanced computer vision techniques to track the movement of farming equipment in real-time or from recorded videos. Data Visualization: Generate detailed visualizations, including trajectory plots, speed profiles, and heatmaps, to understand equipment motion patterns. Efficiency Analysis: Assess the efficiency of field operations by analyzing motion data, helping farmers optimize routes and workflows. Customization: Farmer Motion offers customization options for visualization styles and data analysis parameters to suit specific user requirements. Easy Integration: Integrate Farmer Motion seamlessly into existing agricultural software systems or use it as a standalone tool for motion analysis. Installation pip install farmer-motion

Quick Start import farmer_motion

video_path = "path/to/video.mp4" farmer_motion.load_video(video_path)

farmer_motion.analyze_motion() farmer_motion.visualize_trajectory() Farmer Motion Dashboard (React Frontend)

For a web-based dashboard to visualize motion data, check out the Farmer Motion Dashboard repository.

Contributing Contributions are welcome! Please see the contribution guidelines for more details.

License This project is licensed under the MIT License - see the LICENSE file for details. This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.

Currently, two official plugins are available:

• @vitejs/plugin-react uses Babel for Fast Refresh
• @vitejs/plugin-react-swc uses SWC for Fast Refresh