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  • 标题:A Survey on Plant Leaf Identification in the Field of Agriculture
  • 本地全文:下载
  • 作者:Suman S. G ; B. K. Deshpande
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:3
  • 页码:6325
  • DOI:10.15680/IJIRCCE.2017.0503406
  • 出版社:S&S Publications
  • 摘要:Plants are amid the earth's helpful and attractive products of environment. A plant has been vital tomankind's endurance. The urgent require is the more plant was at the risk of extermination. An ayurvedic medicinescan be prepared by using the plant leaves and this plant class belong to the endanger group. So it is crucial to set up thedatabase for plant defense. Plant leaf detection has been challenge for several researchers. In this paper, introduced onthe survey of various classification methods is used for the plant leaves classification. The method of classificationdeals with classify of each model in the different classes. A classification is a method that leaf can be classified on itsvarious morphological features. It is a big challenging task to analyze plant leaves images by a layman because thereare extremely minute variation in few plants leaves & big data set for study. This is a pretty complex to develop anautomated recognition scheme which is the process on large data and gives correct assessment.
  • 关键词:Leaf Images; Feature Extraction; Classification.
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