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稻麦籽粒计数方法研究现状及展望
引用本文:周麟,武威,刘涛,孙成明. 稻麦籽粒计数方法研究现状及展望[J]. 现代农业科技, 2020, 0(12)
作者姓名:周麟  武威  刘涛  孙成明
作者单位:扬州大学园艺与植物保护学院,扬州大学农学院,扬州大学农学院,扬州大学农学院
摘    要:作物籽粒计数是作物研究中重要的工作之一。本文在总结国内外常用的籽粒计数方法及原理的基础上,对基于计算机视觉的图像分析法、碰撞声音识别法以及基于红外线的颗粒计数方法进行综合比较、分析。结果表明,图像分析法和碰撞声音法操作简单,但易受环境影响;红外计数法被广泛使用,但籽粒下落速度过快时,受光电信息处理电路限制。针对不同的研究需求,采用不同的研究方法是比较合理的选择。

关 键 词:水稻  小麦  籽粒计数  图像分析  机器视觉
收稿时间:2020-03-04
修稿时间:2020-03-04

Research Status and Prospect of Rice and Wheat Grain Counting Methods
SUN Cheng-ming. Research Status and Prospect of Rice and Wheat Grain Counting Methods[J]. Modern Agricultural Sciences and Technology, 2020, 0(12)
Authors:SUN Cheng-ming
Affiliation:Agricultural College of Yangzhou University
Abstract:Grain count is one of the important tasks in crop research. On the basis of summarizing the common methods and principles of grain counting at home and abroad, the image analysis method based on computer vision, collision sound recognition method and the particle counting method based on infrared ray were comprehensively compared and analyzed in this paper. The results showed that the image analysis method and the impact sound method were simple but easy to be affected by the environment, and the infrared counting method was widely used. According to different research needs, it is a reasonable choice to adopt different research methods.
Keywords:Rice   Wheat   grain count   Image analysis   Machine vision
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