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Abstract. Weeds endanger carrot crops by competing for essential nutrients and harboring pests and diseases. Conventional weed control involves the use of synthetic herbicides, which raises environmental concerns. This research introduced a digital twin for a specialized robotic system that offers an alternative to herbicide applications by using laser operation for precision weed elimination. Within the digital twin environment, a 4-degrees-of-freedom (DoF) manipulator was designed with one prismatic joint, one revolute joint, and one spherical joint. The manipulator accounted for an extended reach in a three-dimensional workspace, with linear movements along the X and Y axes and rotary movements along the yaw and pitch axes. The digital twin was developed in the Gazebo simulator with Robot Operating System (ROS) integration. The Inverse Kinematics Fast (IK-Fast) algorithm was applied to automate the manipulator model, and the results showed that the end effector was able to move to the desired target weed position with less than 2% deviation. The goal of this study was to develop a virtual alternative model of the real-world manipulator in the form of a digital twin to perform iterative design, testing, and simulation in a safe and reliable way. The simulation has shown promising results; however, further research, along with hardware development and integration, is required to construct a functional prototype of the system.