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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47113
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In this project, a semi-automatic weed detection and removal robot is developed using Python, OpenCV, and embedded systems technology. The robot integrates an ESP32-CAM module for real-time video streaming, enabling live transmission of the field view to a display. Using a joystick controller and Bluetooth module, the user remotely navigates the robot to detect and approach weed areas effectively. An automatic cutting mechanism is incorporated, which activates immediately when the robot is powered on, allowing for efficient weed removal. The system provides a practical solution for small-scale agricultural fields by combining live visual feedback, manual maneuverability, and automatic weed cutting, enhancing precision and reducing human effort in weed management.
KEYWORDS
Publication Date
7/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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