Application of Machine Vision Technology in the Diagnosis of Maize Disease

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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Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.188-194, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_20〉
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Liying Cao, Xiaohui San, Yueling Zhao, Guifen Chen. Application of Machine Vision Technology in the Diagnosis of Maize Disease. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.188-194, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_20〉. 〈hal-01361137〉

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