Application of BP Neural Network to Sugarcane Diseased Spots Classification

被引：2

作者：

Zhao, Jinhui ^{[1
]}

Luo, Xiwen ^{[2
]}

Liu, Muhua ^{[1
]}

Yao, Mingyin ^{[1
]}

机构：

[1] Jiangxi Agr Univ, Coll Engn, Nanchang 330045, Jiangxi, Peoples R China

[2] S China Agr Univ, Key Lab Key Technol Agr Machine & Equipment, Minist Educ, Guangzhou 510642, Guangdong, Peoples R China

来源：

2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/IITA.2008.447

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Red rot disease and ring spot disease are two common diseases at the seedling stage of sugarcane. According to the image characteristics of diseased spots, sugarcane diseased spots classification using BP neural network is proposed Firstly, the feature parameter combination of mean value of color component Cr, mean value of color component V and roundness is selected as the feature parameters of the following pattern recognition by orthogonal experiment design method Then, BP neural network with 3 input neurons, 12 hidden neurons and I output neuron is constructed to distinguish between red rot diseased spots and ring spot diseased spots. The experimental results show that recognition accurate rates of rough set, fuzzy K near neighbor algorithm and BP neural network are 86%, 91% and 94%, respectively. BP neural network is more suitable to distinguish between the two diseased spots than fuzzy K near neighbor algorithm and rough set.

引用

页码：422 / +

页数：2

共 50 条

[1] The Application of BP Neural Network in Leukocyte Classification Recognition
Wang, Shuo
Zhao, Lijuan
Zhang, Yong
Liu, Deyi
[J]. 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL AUTOMATION (ICITIA 2017), 2017, : 6 - 12
[2] An improved BP neural network algorithm and it's application in customer classification
Gensheng, Wang
[J]. International Journal of Applied Mathematics and Statistics, 2013, 46 (16): : 111 - 118
[3] Identification of diseased spots of sugarcane seedling on image processing
Zhao, Jinhui
Zhou, Zhiyan
Luo, Xiwen
[J]. PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE, 2007, : 695 - 699
[4] The Application of BP Neural Network based on GA Optimization for the Classification and Identification in Neurone
Wang, Kai
Zhang, Lei
Xu, Lijiang
[J]. 2011 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION ENGINEERING (ICFIE 2011), 2011, 8 : 394 - 399
[5] An Improved BP Neural Network in Internet of Things Data Classification Application Research
Wang, Feng
Niu, Lei
[J]. 2016 IEEE INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2016, : 805 - 808
[6] Application of BP neural network to the data classification for power testing of the microwave circuit board
Long Yuan
Zhao Xiucai
Guo Rongbin
[J]. PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 2, 2015, : 646 - 650
[7] The application research of neural network and BP algorithm in stock price pattern classification and prediction
Zhang, Dehua
Lou, Sha
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 115 : 872 - 879
[8] Continuous Attribute Discretization and Application in Chinese Wine Classification Using BP Neural Network
Sun, Xingbo
Tang, Xiuhua
Lei, Yueyun
[J]. 2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 896 - +
[9] Application of BP Neural Network in the Reliability Prediction
Jiang Wei
Zhang Meng
Chen Zhi-ling
Liu Yun
Li Ning
[J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 3814 - 3818
[10] Research and Application on BP Neural Network Algorithm
Yan, Zhao
[J]. PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 1444 - 1447

← 1 2 3 4 5 →