利用机器视觉系统代替人眼获取各项大米参数,再参照国标对其进行等级划分。在此基础上, 利用MATLAB软件的神经网络工具箱在数理统计基础上完成检测模型的构建,从而实现对未知大米外特性的评判,并为检测大米综合品质奠定了基础。-rice detection.At p resent, the evaluation method of the rice quality in China is still at the level of naked eye observation.

How to classify different varieties of rice through the quality parameters based on the adop ted evaluation criteria becomes

a new research top ic. In this paper, the machine vision- based method is used in studying the rice quality. On the basis

of the evaluation criteria, different kinds of rice are classified. And according to the usage of neural network, the detec2

tion model is established, so it can lay the foundation for the p rediction of the unknown kinds of rice in the future.