Extraction of the Rice Leaf Disease Image Based on BP Neural Network

Author

Liu, Libo ; Zhou, Guomin

Author_Institution

Inst. of Agric. Inf., Chinese Acad. of Agric. Sci., Beijing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

3

Abstract

Rice leaf diseases have occurred all over the world, including china. They have had a significant impact on rice quality and yield. Now, the control method rely mainly on artificial means.In this study, BP neural network classifiers were designed for classifying the healthy and diseased parts of rice leaves. This paper select rice brown spot as study object, the training and testing samples of the images are gathered from the northern part of Ningxia Hui Autonomous Region. The result shows that the scheme is feasible to identify rice brown spot using image analysis and BP neural network classifier.

Keywords

backpropagation; crops; feature extraction; image classification; image colour analysis; neural nets; BP neural network classifiers; Ningxia Hui Autonomous Region; color feature; image analysis; rice brown spot identification; rice leaf disease image extraction; rice quality; Artificial neural networks; Data mining; Digital cameras; Diseases; Feature extraction; Image processing; Image texture analysis; Information processing; Laboratories; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5363225

Filename

5363225