随着图像处理技术的专业化与计算机硬件成本的下降和速度的提高 ,在农产品品质自动识别领域应用机器视觉技术已变得越来越具有吸引力。为了能充分利用国外的最新研究成果 ,该文分农产品表面缺陷与损伤识别、尺寸与面积检测和颜色识别等三个方面棕述了国外在利用机器视觉技术进行农产品品质自动识别上的研究进展 ,以供我国研究人员做同类研究时参考。 With the specialization of image processing technologies and the declining cost and speed of computer hardware, the use of machine vision technology in the field of automatic agricultural product quality recognition has become more and more attractive. In order to make full use of the latest research results abroad, this paper reviews the progress of automatic recognition of agricultural products using machine vision technology in three aspects: surface defects and damage identification, size and area detection and color identification of agricultural products. For our researchers to do similar research for reference.