首页    期刊浏览 2025年07月19日 星期六
登录注册

文章基本信息

  • 标题:Plants Disease Detection using Image Processing Techniques
  • 本地全文:下载
  • 作者:Suresh M B ; Poorvika N ; Sri Priya K
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2021
  • 卷号:69
  • 期号:7
  • 页码:19-23
  • DOI:10.14445/22312803/IJCTT-V69I7P102
  • 语种:English
  • 出版社:Seventh Sense Research Group
  • 摘要:Identifying plant diseases is essential for preventing losses in agricultural product production and quantity. The study of plant diseases entails the examination of visually discernible patterns on the plant. Plant health monitoring and disease detection are crucial for sustainable agriculture. Manually monitoring plant diseases is quite tough. It necessitates a great deal of effort, as well as knowledge of plant diseases and long processing times. As a result, by taking Images of the leaves and comparing them to data sets, image processing is utilized to identify plant illnesses. The data collection is made up of several plants in Image format. Apart from detection, consumers are led to an e-commerce website that lists several pesticides along with their rates and usage instructions. This website may be used to compare the MRPs of various pesticides and purchase the ones necessary for the disease identified. This document intends to effectively support and assist greenhouse growers.
  • 关键词:Plant disease detection;Tensor flow;Greenhouse;Convolution neural network
国家哲学社会科学文献中心版权所有