刘双喜,李伟,王金星,戚武振,张晓辉,张菡.双行智能烟草打顶抑芽机检测控制系统设计与试验[J].农业机械学报,2016,47(6):47-52.
Liu Shuangxi,Li Wei,Wang Jinxing,Qi Wuzhen,Zhang Xiaohui,Zhang Han.Design and Test of Testing Control System for Double Rows Intelligent Tobacco Topping Machine[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(6):47-52.
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双行智能烟草打顶抑芽机检测控制系统设计与试验   [下载全文]
Design and Test of Testing Control System for Double Rows Intelligent Tobacco Topping Machine   [Download Pdf][in English]
投稿时间:2016-03-27  
DOI:10.6041/j.issn.1000-1298.2016.06.007
中文关键词:  烟草  打顶机  抑芽  自动检测  图像处理
基金项目:中国烟草总公司科技重点项目(110201302019)
作者单位
刘双喜 山东农业大学 
李伟 山东农业大学 
王金星 山东农业大学 
戚武振 山东农业大学 
张晓辉 山东农业大学 
张菡 山东农业大学 
中文摘要:为提高烟草打顶抑芽作业工作效率,降低劳动强度,采用机器视觉技术进行烟草智能打顶抑芽作业。首先对烟叶和烟花色彩特征进行分析,利用潘通色卡选取与绿叶相似的印染布作为图像采集背景,减小烟花提取难度;以普通摄像头作为图像采集装置,对烟草图像进行处理,在可见光波段利用颜色特征进行烟花位置定位,确定具体打顶高度;最后通过工业控制机和单片机控制步进电动机、电磁阀,实现烟草打顶抑芽的快速、实时作业。田间试验表明:该烟草智能打顶机作业效率2~3s/株,烟花检测准确率96%左右,打顶准确率90%左右,抑芽剂喷洒准确率80%左右;满足设计要求,能够有效提高作业效率和作业效果。
Liu Shuangxi  Li Wei  Wang Jinxing  Qi Wuzhen  Zhang Xiaohui  Zhang Han
Shandong Agricultural University,Shandong Agricultural University,Shandong Agricultural University,Shandong Agricultural University,Shandong Agricultural University and Shandong Agricultural University
Key Words:tobacco  topping machine  sprout inhibition  automatically detecting  image processing
Abstract:At present, tobacco topping and sprout inhibition is mainly by artificial means, existing machinery can only be achieved ‘make it rigidly uniform’ . In order to improve work efficiency of tobacco topping and sprout inhibition, to reduce labor intensity,the machine vision technology is applied to tobacco topping and sprout inhibition operation, to realize intelligent detection of tobacco height. Firstly, the color characteristics of tobacco leaves and tobacco flowers within the visible light band were analyzed, and the dyeing cloth similar to green leaves was selected as image background by using Pantone which can reduce the extraction difficulty of tobacco flower. Then the common camera was used as the image acquisition device, and the industrial control computer was used for processing the color characteristics of the collected image. Based on single line adaptive threshold value judgment method and taking volume as a unit, R value and G value of different characteristics were used to find the location of tobacco flowers, according to the proportion relationship to determine the specific topping height. Finally, the industrial machine was combined with microcontroller to control the stepper motor and solenoid valve, so as to realize the real-time online tobacco topping and sprout inhibition. The test shows that the intelligent tobacco topping and sprout inhibition machine operation efficiency is 2~3 seconds per tree, tobacco flower detection accuracy is about 96%, topping accuracy rate is about 90%, sprout inhibition accuracy rate is about 80%, the machine can meet the design requirement, and can effectively improve the operating efficiency and operation effect.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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