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A new design of sugarcane seed cutting systems based on machine vision

文献类型： 外文期刊

作者： Zhou, Deqiang 1 ; Fan, Yunlei 1 ; Deng, Ganran 3 ; He, Fengguang 3 ; Wang, Meili 4 ;

作者机构： 1.Jiangnan Univ, Sch Mech Engn, Wuxi 214122, Jiangsu, Peoples R China

2.Key Lab Adv Food Mfg Equipment Technol Jiangsu Pr, Wuxi 214122, Jiangsu, Peoples R China

3.Chinese Acad Trop Agr Sci, Agromachinery Res Inst, Zhanjiang 524091, Peoples R China

4.Northwest A&F Univ, Coll Informat Engn, Yangling 712100, Shaanxi, Peoples R China

关键词： Sugarcane; Machine vision; Seed cutting system; Recognition

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2020 年 175 卷

页码：

收录情况： SCI

摘要： In order to realize anti-damage bud and automatic cuffing of sugarcane in a single bud segment, a sugarcane cutting system based on machine vision is designed. The seed cutting system includes a mechanical part, electrical part, and visual processing part. The core of the system uses machine vision to identify the segments of sugarcane stalks. The feasibility of the system and the identification effect can be better verified based on designing a prototype for seed cuffing. The results of the off-line identification of sugarcane stalk segments show that the recognition rate is 93% and the average time is 0.539 s. The throughput capacity of the developed system with single cutting unit can range up to 2400 buds/h. The on-line test illustrated that the position precision of cutting point can meet the demand of agriculture, and the rate of bud damage is zero.

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