基于机器学习的花生高通量自动种子检测系统的设计与实验

Hecang Zang, Qiaoli Zhao, Qing-Hua Zhao, Jie Zhang, YanJing Wang, M. Wang, Gu Zheng, Guoqiang Li
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引用次数: 1

摘要

摘要针对目前花生检测仍以人工为主,难以满足花生检测的实际需求,本文建立了花生高通量自动检测系统(自动计量),提高了花生检测的工作效率。该系统主要由花生自动种子检测装置、扫描枪、工控机、多串口控制器和花生自动种子检测系统组成,实现了花生荚果检测和果仁检测全过程的实时自动化。结果表明,该系统可以实时测量花生荚和花生仁等参数,对花生荚和花生仁的长度、宽度、直径和数量的平均测量精度在98%以上。与人工测试相比,自动测量可以显著提高测试效率。该系统也适用于其他作物试验参数的采集,为高通量自动化试验提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design and experiment of peanut high-throughput automatic seed testing system based on machine learning
ABSTRACT In view of the fact that the current peanut test was still artificial, it was difficult to meet the actual demand of peanut test, this paper established a peanut high-throughput automatic test system (automatic measurement), which improves the work efficiency of peanut test. The system mainly included peanut automatic seed testing device, scanning gun, industrial computer, multi-serial controller and peanut automatic seed testing system, which could obtain the automation of the whole process of peanut pod testing and kernel fruit testing in real time. The results showed that the system can measure the peanut pods and nuts and other parameters in real time, and the average measuring accuracy of the length, width, diameter and quantity of the peanut pod and kernel was more than 98%. Compared with the manual test, the automatic measurement can significantly improved the test efficiency. The system was also suitable for the acquisition of other crop test parameters and provides a reference for high-throughput automatic test.
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