Machine vision system used for real-time detection inter-row weeds

A machine vision system to detect inter-row weeds was developed and tested in the lab. The hardware system was mainly made up of a soil-bin device with controllable velocity carriage, 3 CCD cameras used to capture the images and a PC. The software system was developed to transform color images to binary images by the color feature of plants and background, and to distinguish crops and inter-row weeds by the location feature of crop within the field. It indicated that the mean of executed time of capturing and processing a color image (710×512 pixels) was 426 ms, and the correct classification rate of the system was 86%.