Weed Plant Identification and Removal Using Machine Vision and Robotics

Abstract

Weeds are undesired plants that grow around crops or plants of desire. Farmers and gardeners have always been fighting against weeds because weed removal is a tiring and laborious process. That is where precision farming becomes the need of the hour. To implement precision farming for weed removal, we need a system that detects weeds from crops and also a robotic system that will execute the weed removal process using a robotic arm, mimicking the human action of removing weeds. The proposed system uses the YOLOv4 algorithm to detect weeds and crops in real time and removes the detected weeds using a weeding robot. The system proves to be a good solution of removing weeds from land.