A Study of Image Processing on Identifying Cucumber Disease - Computer and Computing Technologies in Agriculture V - Part III Access content directly
Conference Papers Year : 2012

A Study of Image Processing on Identifying Cucumber Disease

Yong Wei
  • Function : Author
  • PersonId : 988317
Hua Liu
Ling Yang
  • Function : Author
MOA

Abstract

Plant disease has been a major constraining factor in the production of cucumber, the traditional diagnostic methods usually take a long time, and the control period is often missed. We take computer image processing as a method, preprocessing the images of more than 100 sheets of collected samples of cucumber leaves, using the region growing method to extract scab area of leaves to get three feature parameters of shape, color and texture. And then, through the establishment of BP neural network pattern, the model identification accuracy of cucumber leaf disease can reach 80%. The experiment shows that by using this method, the diseases of cucumber leaves can be identified more quickly and accurately. And the feature extraction and automatic diagnosis of cucumber leaf disease can be achieved.
Fichier principal
Vignette du fichier
978-3-642-27275-2_22_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01361139 , version 1 (06-09-2016)

Licence

Attribution

Identifiers

Cite

Yong Wei, Ruokui Chang, Yuanhong Wang, Hua Liu, Yanhong Du, et al.. A Study of Image Processing on Identifying Cucumber Disease. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.201-209, ⟨10.1007/978-3-642-27275-2_22⟩. ⟨hal-01361139⟩
59 View
191 Download

Altmetric

Share

Gmail Facebook X LinkedIn More