An improved KPCA/GA-SVM classification model for plant leaf disease recognition

Journal of Computational Information Systems

Volumn 8, Issue 18, 2012, Pages 7737-7745

  Tian, Jie ^a   Hu, Qiuxia ^a   Ma, Xiaoyi ^a   Han, Mingyu ^a  

^a NORTHWEST A F UNIVERSITY   (China)

Author keywords

Disease recognition; Genetic algorithm; Plant disease; Support vector machine

Indexed keywords

APPLE DISEASE; CLASSIFICATION MODELS; FEATURE VECTORS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); LEAF DISEASE; LEAF IMAGES; LEAF SPOTS; MODEL RECOGNITION; MOSAIC VIRUS; ORTHOGONAL METHOD; PARAMETER DETERMINATION; PLANT DISEASE; PLANT LEAF; RECOGNITION METHODS; TEXTURE CHARACTERISTICS;

FRUITS; GENETIC ALGORITHMS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; VIRUSES;

SUPPORT VECTOR MACHINES;

EID: 84866719267     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. J. K. Patil, R. Kumar. Advances in image processing for detection of plant diseases [J]. Journal of Advanced Bioinformatics Applications and Research, 2011, 2 (2): 135-14.
2. Y. W. Tian, T. L. Li, C. H. Li, et al. Method for recognition of grape disease based on support vector machine. Transactions of the CSAE, 2007, 23 (6): 175-180.
3. J. L. Pang, C. L. Zhang, W. Pan, et al. Automated identification of tomatoes with diseases using Artificial neural network trained with genetic algorithms. Transactions of the Chinese Society of Agricultural Engineering, 2004, 20 (3): 113-116.
4. C. L. Zhao, C. X. Zheng, M. Zhao, et al. Automatic classification of driving mental fatigue with EEG by wavelet packet energy and KPCA-SVM. International Journal of Innovative Computing, Information and Control, 2011, 7 (3): 1157-1168.
5. Jian Zhang, Jiliu Zhou, Kun He, Mei Gong. An improved quantum genetic algorithm for image segmentation. Journal of Computational Information Systems, 2011, 7 (11): 3979-3985.
6. X. P. Wang, L. M. Cao. Genetic algorithms: Theory, applications and software. Xi'an: Xi'an Jiaotong University Press, 28-51, 2000.
7. W. T. Shi, Y. D. Liu, X. B. Wang, et al. Experiment and prediction model for surface roughness in micro-milling. Transactions of the Chinese Society for Agricultural Machinery, 2010, (41) 1: 211-214.
8. K. Xu and Y. Li. An image search approach based on local main color feature and texture feature. Journal of Xi'an Shiyou University (Natural Science Edition), 2005, 20 (2): 77-79.