DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS

doi:10.13031/aea.12935

IMR OpenIR

	DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS
	Quan, L.1; Zhang, T.2,3; Sun, L.1; Chen, X.1; Xu, Z.1
通讯作者	Zhang, T.(307824294@qq.com)
	2018
发表期刊	APPLIED ENGINEERING IN AGRICULTURE
ISSN	0883-8542
卷号	34 期号:6 页码:1003-1016
摘要	At present, the manual grading of soybean seeds is both time consuming and laborious, and detecting the full-surface information of soybean seeds using an existing automatic sorting machine is difficult. To solve this problem, an online omnidirectional inspection and sorting system for soybean seeds was developed using embedded image processing technology. According to the principles employed by the system, the surface friction properties and full-surface information such as the shape, texture and color of soybean seeds were adopted in the study. Soybean seeds were inspected and sorted using their full surface information in combination with the embedded image processing technology. Split, worm-eaten, gray-spotted, slightly cracked, moldy and normal soybeans were used to test the system. According to the test results, the optimum design parameters of the preliminary sorting device based on the friction properties were a tilting angle of 12 degrees and a linear velocity of 0.4 m/s. Furthermore, the optimum design parameters of the directional integrated device were a tilting angle of 19 degrees and a linear velocity of 0.45 m/s. The sorting speed was 400 soybeans per minute with 8-channel parallel transmission. The average sorting accuracies were 99.4% for split soybeans, 98.5% for worm-eaten soybeans, 98.5% for gray-spotted soybeans, 97.7% for slightly cracked soybeans, 98.6% for moldy soybeans, and 98.9% for normal soybeans. The overall results suggest that the system can potentially meet the needs of the rapid inspection and automatic sorting of soybean seeds and provide references for research on the alternating rotational motion of granules and on-line collection of full-surface information.
关键词	Embedded image processing technology Full surface Granules Inspection On-line Sorting Soybean seeds
资助者	Academic Backbone Foundation of NEAU ; Heilongjiang Overseas Study and Return Fund ; National Key R&D Program for Crop Breeding
DOI	10.13031/aea.12935
收录类别	SCI
语种	英语
资助项目	Academic Backbone Foundation of NEAU[17XG01] ; Heilongjiang Overseas Study and Return Fund[LC2018019] ; National Key R&D Program for Crop Breeding[2016YFD0100201]
WOS研究方向	Agriculture
WOS类目	Agricultural Engineering
WOS记录号	WOS:000454981900010
出版者	AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/131125
专题	中国科学院金属研究所
通讯作者	Zhang, T.
作者单位	1.Northeast Agr Univ, Coll Engn, Harbin, Heilongjiang, Peoples R China 2.Chinese Acad Sci, Shenyang Inst Automat, Inst Robot & Intelligent Mfg, China State Key Lab Robot,Robot Inst, Shenyang, Liaoning, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Quan, L.,Zhang, T.,Sun, L.,et al. DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS[J]. APPLIED ENGINEERING IN AGRICULTURE,2018,34(6):1003-1016.
APA	Quan, L.,Zhang, T.,Sun, L.,Chen, X.,&Xu, Z..(2018).DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS.APPLIED ENGINEERING IN AGRICULTURE,34(6),1003-1016.
MLA	Quan, L.,et al."DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS".APPLIED ENGINEERING IN AGRICULTURE 34.6(2018):1003-1016.