Abstract:
Weeding is the most challenging process in agriculture. Traditional weeding requires a
lot of labor, time and money. So, there is a need to develop an autonomous weeding method that
reduces the time and cost of the weeding process without human intervention.
Our system is designed to detect weeds using a deep learning model in order to eliminate the
weeds using a laser beam, which is an effective weed control method that is echo-friendly and
does not harm the environment. The laser weeding precisely targets the weeds and eliminates
them without affecting the crop plants.
The solution we suggest is a smart machine, based on a mobile application that processes the
input images from the camera module to classify the detected objects in the image as weeds or
not. After detecting the weed, the center point coordinates of the detected weed are sent to the
Arduino microcontroller via the Bluetooth module, then the robot will move in 2-dimensionals to
reach the position of the weed in the real environment, and activate the laser on the weed for an
amount of time.
