AMIGA Smart Farming

This repository contains ROS packages, utility scripts, and configurations developed for the AMIGA Smart Farming Project.
It integrates camera systems, navigation stacks, and data collection tools to enable autonomous lane following, weed detection, and dataset management.

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📂 Repository Structure

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🛠 Utility Folder

The utility/ folder provides standalone scripts and helper tools for setup, debugging, and data processing.

• IP_Config.py
  Configure IP settings (useful for network setup with ROS nodes and external hardware).

• OAK-D W PoE Camera Setup_.docx
  Step-by-step documentation for setting up the OAK-D W PoE camera without the canbus.

• cameraCheck.py
  Verifies if the OAK-D camera is connected & checks their availability.

• oakd_weed.py
  Script for weed detection camera check without jetson.

• rosbag_to_video.py
  Converts a recorded ROS bag into a playable video file.

• rosbags_to_images.py
  Extracts image frames from a ROS bag and saves them as individual image files.

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🚗 Navigation Package

The navigation_pkg provides launch files for navigation-related tasks.

Launch Files

• lane_follow_stack.launch
  Brings up the lane following stack, including required perception, planning, and control nodes.

Running the Launch File

1. Clone repository and checkout the DellG16

git clone -b DellG16 https://github.com/Janmejay-Rathi/AMIGA_Smart_Farming.git
cd AMIGA_Smart_Farming-DellG16
git checkout DellG16

2. Build the workspace

catkin_make

3. Source the workspace

source devel/setup.bash

4. Launch the navigation files for autonomous navigation

roslaunch navigation_pkg lane_follow_stack.launch

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Credits

Author: Janmejay Rathi
Email: janmejayrathi123@gmail.com
Website: https://www.janmejayrathi.me