您好，欢迎访问上海市农业科学院 机构知识库！
上海市农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

A lightweight tomato leaf disease identification method based on shared-twin neural networks

文献类型： 外文期刊

作者： Wang, Linfeng 1 ; Liu, Jiayao 1 ; Liu, Yong 1 ; Wang, Yunsheng 1 ; Xu, Shipu 1 ;

作者机构： 1.Shanghai Acad Agr Sci, Inst Agr Informat Sci & Technol, Shanghai 201403, Peoples R China

关键词： botany; computer vision; convolutional neural nets; data visualisation

期刊名称：IET IMAGE PROCESSING （ 影响因子：2.3； 五年影响因子：2.3 ）

ISSN： 1751-9659

年卷期： 2024 年

页码：

收录情况： SCI

摘要： Automatic detection of tomato leaf spot disease is essential for control and loss reduction. Traditional algorithms face challenges such as large amount of data, multiple training and heavy computation. In this study, a lightweight shared Siamese neural network method was proposed for tomato leaf disease identification, which is suitable for resource-limited environments. Experiments on Plant-Village, Taiwan and Taiwan ++ datasets show that the accuracy fluctuates very little even when trained with only 60% of the data, which confirms the effectiveness of the proposed method in the small data environment. In addition, compared with the mainstream algorithms, it improves the accuracy by up to 35.3%on Plant-Village and two Taiwan datasets respectively. The experimental results also show that the proposed method still performs well when the data is imbalanced and the sample size is small. A lightweight tomato leaf disease identification method based on shared-twin neural networks, for rapid detection of tomato diseases image

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：上海市农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台