CAJ | 학술논문

　　首先，介绍了采用机器视觉的精播排种器性能检测方法；然后，在对获取样本图像进行处理的基础上，完成帧种子数的识别，利用采样频率和排种频率之间的关系，构造了帧种子数、帧型孔数和型孔种子数频数统计模型，计算出排种器性能指标。试验表明，此方法检测误差小，速度快，精度高。
　　수선，개소료채용궤기시각적정파배충기성능검측방법；연후，재대획취양본도상진행처리적기출상，완성정충자수적식별，이용채양빈솔화배충빈솔지간적관계，구조료정충자수、정형공수화형공충자수빈수통계모형，계산출배충기성능지표。시험표명，차방법검측오차소，속도쾌，정도고。
In this paper, the machine vision method was adopted to detect the performance of precision seedmeter . Through a series of treatments, the number of frame seed were recognized .The statisticl model was deduced based on the relationship of the sampling and seeding frequence , including the characteristic quantities of the the number of frame seed, the number of frame cell, and the frequence of cell seed .Finally, the performance of the seedmeter was counted . The result of experiment showed that the method precision and velocity are satisfying .