DESIGN AND TESTING OF AN ON-LINE OMNIDIRECTIONAL INSPECTION AND SORTING SYSTEM FOR SOYBEAN SEEDS
文献类型：期刊论文
| 作者 | Zhang TY(张天宇)1,2 ; Sun LR(孙笠然)3; Chen X(陈鑫)3; Xu ZT(徐志彤)3; Quan LZ(权龙哲)3
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| 刊名 | APPLIED ENGINEERING IN AGRICULTURE
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| 出版日期 | 2018 |
| 卷号 | 34期号:6页码:1003-1016 |
| 关键词 | Embedded image processing technology Full surface Granules Inspection On-line Sorting Soybean seeds |
| ISSN号 | 0883-8542 |
| 产权排序 | 2 |
| 英文摘要 | 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. |
| WOS关键词 | QUALITY INSPECTION ; COMPUTER VISION ; CLASSIFICATION ; IDENTIFICATION ; VARIETIES ; IMAGES |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000454981900010 |
| 源URL | [http://ir.sia.cn/handle/173321/24040]  |
| 专题 | 沈阳自动化研究所_装备制造技术研究室 |
| 通讯作者 | Zhang TY(张天宇) |
| 作者单位 | 1.State Key Laboratory of Robotics, Institutes for Robotics and Intelligent Manufacturing, Shenyang Institute of Automation, Chinese Academy of Sciences 2.University of the Chinese Academy of Sciences 3.College of Engineering, Northeast Agricultural University, Harbin, China |
| 推荐引用方式 GB/T 7714 | Zhang TY,Sun LR,Chen X,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 | Zhang TY,Sun LR,Chen X,Xu ZT,&Quan LZ.(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 | Zhang TY,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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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