首页> 外文会议>International Conference on Digital Arts, Media and Technology >Expert system for diagnosis mango diseases using leaf symptoms analysis
【24h】

Expert system for diagnosis mango diseases using leaf symptoms analysis

机译:利用叶片症状分析诊断芒果疾病的专家系统

获取原文

摘要

This research presents the development of an expert system for diagnosis plant diseases in Barracuda mango (Nam-Dok Mai) which is one of a major export agricultural yield of Thailand. However, Thailand is in a tropical country and the climate causes the variation of plant diseases that affect to the growth of mango trees. Many type of agriculture yield are decreased due to an agriculturist are lacking of knowledge on how to classify type of plant disease correctly. Moreover, there is no suggestion system for a decision-making in choosing a suitable way to prevent or treat the disease that occur in their farm. This causes a lot of error in their infected plant treatments. Therefore, this system has been developed for help an agriculturist to diagnose the infected plant and to solve the problem immediately. The agriculturist should have the application which work in process of specific plant disease diagnosis as an expert human work. The plant diagnosis application applies a knowledge base system in form of rule-based model obtained by data mining technique. This paper present rule-based model with leaf image dataset. Experimental results performed that the rule-based model with 129 leaf images which collected from mango field area under supervision of product quality and standardization, Maejo University and 3 answer of class label (Anthracnose, Algal Spot, normal) has 89.92% of accuracy. From the experimental result indicated that the rules-based model can be applied to the plant diagnosis application.
机译:这项研究提出了梭子鱼芒果(Nam-Dok Mai)植物病害诊断专家系统的开发,这是泰国主要的农业出口产品之一。但是,泰国位于热带国家,气候导致植物病害的变化,影响了芒果树的生长。由于农业学家缺乏有关如何正确分类植物病害类型的知识,许多类型的农业产量都下降了。而且,在选择合适的方法来预防或治疗其农场中发生的疾病时,没有建议的决策系统。这在其被感染的植物处理中引起很多错误。因此,已经开发了该系统以帮助农业学家诊断受感染的植物并立即解决问题。农业专家应作为专家级的工作在特定植物病害诊断过程中起作用的应用。植物诊断应用程序以通过数据挖掘技术获得的基于规则的模型的形式应用知识库系统。本文提出了基于规则的叶子图像数据集模型。实验结果表明,基于规则的模型具有129个叶图像,这些图像是在前田市大学产品质量和标准化监督下从芒果田地区收集的,并具有3个类别标签的答案(炭疽病,藻斑病,正常),准确度为89.92%。从实验结果表明,基于规则的模型可以应用于植物诊断应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号