Study on image recognition of insect pest of sugarcane cotton aphis based on rough set and fuzzy C-means clustering

3rd International Symposium on Intelligent Information Technology Application, IITA 2009

Volumn 2, Issue , 2009, Pages 553-555

  Zhao, Jinhui ^a   Liu, Muhua ^a   Yao, Mingyin ^a  

^a JIANGXI AGRICULTURAL UNIVERSITY   (China)

Author keywords

Fuzzy C means clustering; Image recognition; Rough set; Sugarcane cotton aphis

Indexed keywords

CHARACTERISTIC PARAMETER; FUZZY C-MEANS CLUSTERING; INSECT PEST; ROUGH SET;

FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE RECOGNITION; INFORMATION TECHNOLOGY; ROUGH SET THEORY;

COTTON;

EID: 77649288135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2009.295     Document Type: Conference Paper

References (6)

1. Chen Jiajuan, Ji Shouwen,Li Juan, and Zhao Xuedu, "Automatic Measurement of Danger Degree of Cotton Insect Pests Using Computer Vision", Transactions of the CSAE, 2001,17(2): pp. 157-160.
2. D.G. Sena Jr, F.A.C. Pinto, D.M. Queiroz, P.A. Viana, "Fall Armyworm Damaged Maize Plant Identification using Digital Images", Biosystems Engineering, 2003, 85 (4): pp. 449-454.
3. Huang Yingkun, Li Wenfeng,"The Main Sugarcane Pests and Control in Yunnan Province" , Yunnan Agricultural Technology , 1996 , (1): 13-16.
4. th International Joint Conference of Artificial Intelligence, Morgan Kaufmann, 1993.
5. LI Ruqiang, CHEN Jin,WU Xi, "A Diagnostic Method of Rotating Machinery Based on Rough Sets Theory and Pattern Recognition", Mechanical science and technology,2004,23(11):1308-1312.
6. Bian Zhaoqi, Zhang Xuegong, "Pattern Recognition " , Tsinghua University Press, Beijing, 2000.