Rice Blast Disease Recognition Using a Deep Convolutional Neural Network

Rice disease recognition is crucial in automated rice disease diagnosis systems. At present, deep convolutional neural network (CNN) is generally considered the state-of-the-art solution in image recognition. In this paper, we propose a novel rice blast recognition method based on CNN. A dataset of...

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Veröffentlicht in:	Scientific reports Jg. 9; H. 1; S. 2869
Hauptverfasser:	Liang, Wan-jie, Zhang, Hong, Zhang, Gu-feng, Cao, Hong-xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 27.02.2019 Nature Publishing Group
Schlagworte:	639/705/117 639/705/258 Humanities and Social Sciences multidisciplinary Neural networks Oryza Rice Rice blast Science Science (multidisciplinary) Wavelet transforms
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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