育种用玉米种子切片取样自动定向方法与试验

为解决玉米育种激光切片取样机器人设计中玉米种子自动定向问题,该文提出了一种计算机视觉与姿态调整装置相结合的定向方法,并使用此方法做了验证试验。使用MATLAB神经网络模式识别工具箱,以种子的部分特征参数作为神经网络的输入,以预定义的种子形态和姿态为输出,建立模型并对模型进行训练,训练完成的模型用于种子姿态识别,姿态调整装置根据识别结果将种子调整到理想姿态。对497组样本进行训练,得到形态识别准确率97.8%,姿态识别准确率99.8%,识别速度1.3 s/幅,能满足设备的设计要求,验证了姿态识别方法的准确性和姿态调整装置设计的合理性。该方法可为玉米种子自动定向问题提供解决方案,为自动育苗机中自动...

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Bibliographic Details
Published in农业工程学报 Vol. 32; no. 4; pp. 40 - 47
Main Author 李广伟 谷侃锋 赵明扬
Format Journal Article
LanguageChinese
Published 中国科学院沈阳自动化研究所,沈阳,110016 2016
Subjects
姿态识别
机器视觉
模型
玉米育种
神经网络
种子
种子自动定向
models
seed
姿态识别
模型
neural networks
maize breeding
神经网络
种子
玉米育种
seed auto orientation
machine vision
机器视觉
posture recognition
种子自动定向
Online AccessGet full text
ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2016.04.006

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Summary:为解决玉米育种激光切片取样机器人设计中玉米种子自动定向问题,该文提出了一种计算机视觉与姿态调整装置相结合的定向方法,并使用此方法做了验证试验。使用MATLAB神经网络模式识别工具箱,以种子的部分特征参数作为神经网络的输入,以预定义的种子形态和姿态为输出,建立模型并对模型进行训练,训练完成的模型用于种子姿态识别,姿态调整装置根据识别结果将种子调整到理想姿态。对497组样本进行训练,得到形态识别准确率97.8%,姿态识别准确率99.8%,识别速度1.3 s/幅,能满足设备的设计要求,验证了姿态识别方法的准确性和姿态调整装置设计的合理性。该方法可为玉米种子自动定向问题提供解决方案,为自动育苗机中自动定向装置的设计提供参考。
Bibliography:11-2047/S
Li Guangwei, Gu Kanfeng, Zhao Mingyang （ Shenyang Institute of Automation Chinese Academy of Science, Shenyang 110016, China）
seed;neural networks;models;maize breeding;seed auto orientation;machine vision;posture recognition
Molecular marker breeding is often used in modern maize breeding. Breeding section is an analytical sample used in modern molecular marker breeding, and maize breeding section is taken from the endosperm tissue of the endosperm end of the corn seed, which is about 15 mg and can be cut by hand and also by machine automatically. The corn breeding laser chip sampling robot is a device for automatic production of maize breeding section. In the process of making section, the accuracy of the automatic orientation determines the location and size of the section, and is a key link in the whole process. In order to solve the problem of automatic orientation of maize seeds in the design of corn breeding laser chip sampling robot, one method of corn seed orientation combined with computer vi
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2016.04.006