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Research on optimal predicting model for the grading detection of rice blast

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成果类型:
期刊论文
作者:
Luo, Ya-hui;Jiang, Ping*;Xie, Kai;Wang, Fu-jie
通讯作者:
Jiang, Ping
作者机构:
[Xie, Kai; Luo, Ya-hui; Jiang, Ping; Wang, Fu-jie] Hunan Agr Univ, Coll Engn, Changsha 410128, Hunan, Peoples R China.
[Jiang, Ping] Southern Reg Collaborat Innovat Ctr Grain & Oil C, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Jiang, Ping] H
[Jiang, Ping] S
Hunan Agr Univ, Coll Engn, Changsha 410128, Hunan, Peoples R China.
Southern Reg Collaborat Innovat Ctr Grain & Oil C, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Rice blast;High spectral;Grading-detection
期刊:
Optical Review
ISSN:
1340-6000
年:
2019
卷:
26
期:
1
页码:
118-123
基金类别:
Foundation Item: Technology plan of Hunan Province [2016NK2117]
机构署名:
本校为第一且通讯机构
院系归属:
工学院
摘要:
Rice blast is a worldwide disease of rice that is an important reason for the reduction of rice yield. In this paper, “Lingliangyou 268” was selected as the research object. The spectral data were measured by a Landmark Spectrum instrument. The spectral characteristics of the original spectrum, derivative spectrum and logarithmic spectrum of different grades of rice blast were studied. A new method for rice blast grading based on sensitive bands was proposed. Then, the method of system clustering method, BP neural network and probabilistic ne...

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