Automated Computer Vision based Weed Removal Bot

Abstract

Weeds are a dangerous factor for a good yield of crops. The conventional method of removing weeds was either plucking manually or spraying herbicides uniformly all over the field. Spraying herbicides not only contaminates crops but also gives rise to many health-related issues. The purpose of the paper is to develop a mobile model that can detect weeds in real- time with their position coordinates and scrape them off. The model first scans the specific area for leaf detection and classifies it as weed or crop with a prediction accuracy of 99.5%. If the classified leaf is a weed, the coordinates are found and the robotic arm removes them with the help of a high-speed rotating blade, without harming the crops and environment. The left outs can further be utilized as fertilizer and no harmful chemicals have been used.