Application of Machine Vision Technology in the Diagnosis of Maize Disease - Computer and Computing Technologies in Agriculture V - Part III Access content directly
Conference Papers Year : 2012

Application of Machine Vision Technology in the Diagnosis of Maize Disease

Liying Cao
  • Function : Author
  • PersonId : 986593
Xiaohui San
  • Function : Author
  • PersonId : 986595
Yueling Zhao
  • Function : Author
  • PersonId : 988224
Guifen Chen
  • Function : Author
  • PersonId : 972131

Abstract

In order to identify the rapid diagnosis of diseases of corn, to take timely preventive measures to improve the diagnosis of diseases of corn. Machine vision technology will be introduced to the diagnosis and identification of maize diseases, laboratory tests show that the uses of machine vision technology, disease recognition model for the disease sample collection process to identify, analyze findings and to get the real practical applications, consistent with the conclusions, to meet the agricultural production practical application. The technology for the diagnosis of diseases of corn provides a quick, inexpensive, non-destructive testing of possible means.
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hal-01361137 , version 1 (06-09-2016)

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Liying Cao, Xiaohui San, Yueling Zhao, Guifen Chen. Application of Machine Vision Technology in the Diagnosis of Maize Disease. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.188-194, ⟨10.1007/978-3-642-27275-2_20⟩. ⟨hal-01361137⟩
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