机器视觉在农业车辆导航系统中的研究进展

Review of Machine Vision Research in Agricultural Vehicle Guidance

机器视觉是农业自动车辆获得导航信息的一种方式,其基本任务是从图像中识别出作物行,然后提取作物线。目前有两种分析图像的模式:基于2D图像信息的边缘特征分析法,基于1D灰度信息的特征分析法。综述了国内外在这个领域的研究进展,并提出一些符合我国农业现代化发展趋势的机器视觉研究思路。

Machine vision is one of the ways to get guidance information for automatic agricultural vehicles. Its basic function is to identify crop rows and then extract their crop-lines. Now, there are two ways to process the images, one is based on 2D image to process features of crop-rows and crop-edge, and the other based on 1D intensity to process features. The development in this field was reviewed and some new ideas on machine vision research were put forward, which were consistent with the trend of agricultural modernization in China.