Detection Precision of Seedmeter for Large-granule Seeds

作     者：NIE Yongfang CHENG Jianfeng ZHANG Sujun CAO Jun WANG Yushun 

作者机构：Collcge of Mechanical Engineering Henan Institute of Science and Technology Xinxiang 453003 Henan China Department of Foreign Languages Henan Institute of Science and Technology Xinxiang 453003 Henan China College of Shanxi Agricultural University Taigu 030801 Shanxi China 

出 版 物：《Journal of Northeast Agricultural University(English Edition)》 (东北农业大学学报（英文版）)

年 卷 期：2011年第18卷第1期

页      面：63-66页

学科分类：0828[工学-农业工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by Henan Institute of Science and Technology (055031) 

主　　题：seedmeter detection precision machine vision image processing 

摘      要：A detecting method based on machine vision was put forward to test the performance of seedmeter with corn and soybean seeds as test samples,in which MATLAB software was applied to process image data and analyze the *** experimental results showed that the mean value of absolute error of the sowing speed for soybean was 0.004-0.68 seed ？ s-1;the mean value of relative error was from 6.5% to 130%,and there were no significant differences of mean value,standard deviation and coefficient of variation of flowing seeds between manual statistics and MATLAB *** machine vision method was proved to be time-saving,labor-saving and no-touching in the seedmeter precision detecting.