• EI
    • CSA
    • CABI
    • 卓越期刊
    • CA
    • Scopus
    • CSCD
    • 核心期刊
Gong Linong, Yuan Yuliang, Shang Shuqi, Jiang Jinlin, Zheng Yuenan. Design and experiment on electronic control system for plot seeder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(5): 122-126.
Citation: Gong Linong, Yuan Yuliang, Shang Shuqi, Jiang Jinlin, Zheng Yuenan. Design and experiment on electronic control system for plot seeder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(5): 122-126.

Design and experiment on electronic control system for plot seeder

More Information
  • Received Date: July 20, 2010
  • Revised Date: August 09, 2010
  • Published Date: May 30, 2011
  • In order to improve the precision and efficiency of plot seeders, an electronic control system was developed, which conld increase the accuracy and scientificity, decrease cost of breeding experiment in the field. A stepping motor was applied to control the rotation angle of cone compartment tray of the metering device. The centrifuging distributor was controlled by a direct-current motor, and two speed sensors were used for monitoring working speed to reduce the influence of skidding which caused inaccuracy of seeding length. The indoor experiment results showed that the inaccuracy for the rotation angle of cone compartment tray was less than 0.24% at all kinds of rotating speed; according to different seeds, the best distributor rotating speed was different. The speed respectively was 1?560 r/min for colza seeds, 1?020 r/min for Chinese cabbage seeds, 1?560 r/min for sesame seeds, 780-1?020 r/min for green bean seeds. Seeding in such speed could make sure that the coefficient of variation between rows was minimal and the best coefficient in rows was achieved. When the working speed was higher than 2.5 km/h, the coefficient of variation in the same rows was less than 15.4%. When the working speed was lower, the coefficient of variation in the same rows was higher.
  • Related Articles

    [1]Wang Pengxin, Qi Xuan, Li Li, Wang Lei, Xu Lianxiang. Estimation of maize yield based on projection pursuit with particle swarm optimization[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(13): 145-153. DOI: 10.11975/j.issn.1002-6819.2019.13.016
    [2]Wang Bai, Zhang Zhongxue, Li Fanghua, Sun Yanling, Ding Hong. Comprehensive evaluation of regulated deficit irrigation using projection pursuit model based on improved double chains quantum genetic algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(2): 84-89.
    [3]Jiang Qiuxiang, Fu Qiang, Wang Zilong. Comprehensive evaluation of regional land resources carrying capacity based on projection pursuit model optimized by particle swarm optimization[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(11): 319-324.
    [4]Feng Jianzhong, Bai Linyan. Primary validation of improved SYNTAM aerosol retrieval model in Beijing region using AERONET data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 69-73.
    [5]Ding Hong, Liu Dong, Li Tao. Projection pursuit model for evaluating drought based on improved artificial fish swarm algorithm of Sanjiang Plain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(12): 84-88.
    [6]Benifit evaluation of conservation tillage based on projection pursuit[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 175-179.
    [7]Wang Bin, Zhang Zhanyu, Wei Yongxia, Zhang Guohua, Li Wencai. Assessment of agricultural basic drought based on projection pursuit[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(4): 157-162.
    [8]Zhao Xiaoyong, Fu Qiang, Xing Zhenxiang, He Yanguo. Improvement of projection pursuit model and its application in integrated evaluation of eco-agricultural construction[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(5): 222-225.
    [9]Zhang Libing, Cheng Jilin, Jin Juliang, Jiang Xiaohong. Projection pursuit model for comprehensive evaluation of agricultural irrigation water quality[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(4): 15-18.
    [10]Feng Zhiming, Zheng Haixia, Liu Baoqin. Comprehensive evaluation of agricultural water use efficiency based on genetic projection pursuit model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(3): 66-70.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return