ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

雷達識別狼毒草噴藥滅除裝置
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

“十二五”國家科技支撐計劃資助項目(2011BAD20B11)


Spraying and Removal Device for Stellera Chamaejasme Identificated by Radar
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    針對狼毒草早期萌發(fā)的高度優(yōu)勢和灌叢特性,提出一種狼毒草對靶噴藥滅除裝置,。完成了機架系統(tǒng),、噴藥系統(tǒng),、電控系統(tǒng)以及整機結(jié)構(gòu)的設(shè)計,,基于雷達傳感測距技術(shù)實現(xiàn)了對狼毒草的自動識別與定點精量施藥控制。實地試驗結(jié)果表明:該裝置對狼毒草施藥附著率可達87.1%,,能有效提高滅除效率和減少農(nóng)藥的使用量,,避免由于大量連續(xù)噴藥引起的環(huán)境污染。

    Abstract:

    According to brush features and height advantage of stellera chamaejasme during its early budding stage, a kind of targeted spraying device for its removed was proposed. The design of the frame system, spraying system, electrical control system and machine structure of the device were completed. By means of radar range sensor technology, the stellera chamaejasme could be automatically identified and site specific accurately sprayed. The results of real test showed that this device could effectively eliminate stellera chamaejasme with 87.1% pesticide adherent rate. This device could improve the efficiency of stellera chamaejasme removed and reduce the amount of pesticide used, which was benefit for reducing the environmental pollution caused by high amount of continuous spraying.

    參考文獻
    相似文獻
    引證文獻
引用本文

趙建柱,宗玉峰,王楓辰,李 琨,李少雄,王國業(yè).雷達識別狼毒草噴藥滅除裝置[J].農(nóng)業(yè)機械學(xué)報,2014,45(S1):68-72. Zhao Jianzhu, Zong Yufeng, Wang Fengchen, Li Kun, Li Shaoxiong, Wang Guoye. Spraying and Removal Device for Stellera Chamaejasme Identificated by Radar[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(S1):68-72.

復(fù)制
分享
文章指標
  • 點擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2014-06-21
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2014-11-15
  • 出版日期:
文章二維碼