计算机与现代化 ›› 2009, Vol. 8 ›› Issue (8): 183-186.doi: 10.3969/j.issn.1006-2475.2009.08.050

• 应用与开发 • 上一篇    下一篇

基于无尺度网络的行间作物杂草清除方法

聂笑一1,2,杨长兴1   

  1. 1.中南大学信息科学与工程学院,湖南 长沙 410083;2.湖南农业大学信息科学技术学院,湖南 长沙 410128
  • 收稿日期:2009-04-13 修回日期:1900-01-01 出版日期:2009-08-21 发布日期:2009-08-21

Weeds from Between-row Crop Elimination Method Based on Scale-free Networks

NIE Xiao-yi1,2, YANG Chang-xing1   

  1. 1.School of Information Science and Engineering, Central South University, Changsha 410083, China;2.School of Information Science and Technology, Hunan Agricultural University, Changsha 410128, China
  • Received:2009-04-13 Revised:1900-01-01 Online:2009-08-21 Published:2009-08-21

摘要: 为了减少除草剂在经济作物上的使用,降低除草剂对环境的压力,本文提出采用机器视觉识别杂草网络、对行间作物杂草无尺度网络摧毁的方法。通过机器视觉识别出作物、土壤和杂草,依据植化物质的作用建立并绘制杂草无尺度网络,通过对杂草网络的节点偏好性、增长性和聚类性的研究,发现杂草网络对随机节点故障具有鲁棒性,对蓄意攻击具有脆弱性,依据此特点提出摧毁杂草网络节点的方法。与现有方法相比,新方法符合生态经济管理原则。

关键词: 杂草, 行间作物, 无尺度网络, 机器视觉, 除草剂

Abstract: In order to reduce the herbicide on crops and stress on the environment, this paper proposes to use machine vision to identify weed networks, and destroyes network of weeds from betweenrow crop by scalefree networks method. The paper identifies the crop, soil and weeds by machine vision, builts and mappes scalefree networks of weed according to the role of allelochemics, researches weed networks of preferential attachment, growth and clustering, founds that error tolerance and attack vulnerability are generic properties of weed networks, and proposes a method to attack and destroy weed networks. Compared with existing methods, new methods accord with the principle of ecoeconomic management.

Key words: weed, betweenrow-crop, scale-free networks, machine vision, herbicide

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