Extraction of Fruit Tree Canopy Images Based on Machine Vision

Abstract

With the rapid development of machine vision technology and the help of smart agriculture, machine vision technology has developed from medical, military, national defense and other fields to the agricultural field and achieved remarkable results. Such as: fruit and vegetable picking robot, fruit quality classification, weed pest monitoring and so on. In this paper, machine vision technology is used to complete the segmentation of fruit tree crown image, which is complicated due to the influence of fruit tree shape, planting mode and growth environment. For pear trees in orchards, OpenCV software and image processing method are used in this paper to propose a tree crown image segmentation algorithm to provide reference for the subsequent prediction of fruit tree crown volume and accurate spraying.