期刊文献+

计算机杂草识别技术的研究现状 被引量:2

Status of Computer Technique for Identification of Weed
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摘要 针对不同的杂草种类分别采取光谱分析法、颜色分析法、纹理分析法以及外形分析法来识别的特点,介绍了国外在该领域的研究应用进展,提出了计算机杂草识别技术的意义及在我国的发展前景。 Various methods including spectral analysis, color indices analysis, shaper and texture analysis have been conducted to identify weeds by using computer technology in allusion to various weed species, and the research status abroad were presented. Based on the weed situation in China, the merits and application prospects of weed identifying technology were mentioned.
作者 蒋正荣
出处 《上海环境科学》 CAS CSCD 1999年第10期481-483,共3页 Shanghai Environmental Sciences
关键词 杂草识别 计算机视觉 纹理 近红外 实验室研究 Weed identification Computer vision Texture NIR Laboratory research
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参考文献2

  • 1王伟,人工神经网络原理.入门与应用,1995年,29页
  • 2周孝宽,实用微机图象处理,1994年,215页

同被引文献8

  • 1Brivot R,Marchant J A.Segmentation of plants and weeds for a precision crop protection robot using infrared images.IEEE Proceedings on Vision,Image,and Signal Processing,1996,143(2);118-124.
  • 2Elfaki M S,Zhang N,Peterson D E.Weed detection using color machine vision.ASAE Paper 973134,1997.
  • 3Lee W S,Slaughter D C,Giles D K.Robotic weed control system for tomatoes using machine vision system and precision chemical application.ASAE Paper 973093,1997.
  • 4Meyer G E,Mehta T,Kocher M F,et a1.Textural imaging and discriminant analysis for distinguishing weeds for spot spraying.Transactions of the ASAE,1998,41(4):1189-1197.
  • 5Woebbecke D M,Meyer G E,Von Bargen K,et a1.Shape features for identifying young weeds using image analysis.Transactions of the ASAE,1995,38(1):271-281.
  • 6Yang-ChunChieh,Prasher S 0,Landry J A,et a1.Weed recognition in precision farming.ASAE Paper 993115,1999.
  • 7H.J.Olsen.Determination of row position insm- all-grain crops by analysis of video image s[J].Computers and Electronics in Agricultur- e,1995,(12):147-162.
  • 8相阿荣,王一鸣.利用色度法识别杂草和土壤背景物[J].中国农业大学学报,2000,5(4):98-100. 被引量:14

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