Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 23
Page No. 4934 - 4944

Identification of Medical Plants Using Genetic Algorithm and Recurrent Neural Network

Authors : S.Malarkhodi

References

Abdul, K., L.E. Nugroho, S. Adhi and P.I. Santosa, 2011. Leaf classification using shape color and texture features. Int. J. Comput. Trends Technol. 0: 225-230.
Direct Link  |  

Anami, B.S., S.N. Suvarna and A. Govardhan, 2010. A combined color texture and edge features based approach for identification and classification of indian medicinal plants. Int. J. Comput. Appl., 6: 45-51.
Direct Link  |  

Banerjee, A.K., K. Kiran, U.S. Murty and C. Venkateswarlu, 2008. Classification and identification of mosquito species using artificial neural networks. Computat. Biol. Chem., 32: 442-447.
CrossRef  |  PubMed  |  Direct Link  |  

Baraldi, A. and F. Parmiggiani, 1995. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters. IEEE Trans. Geosci. Remote Sensing, 33: 293-304.
CrossRef  |  

Chaki, J. and R. Parekh, 2011. Plant leaf recognition using shape based features and neural network classifiers. Int. J. Adv. Comput. Sci. Appl., 2: 41-47.
Direct Link  |  

Choras, R.S., 2007. Image feature extraction techniques and their applications for CBIR and biometrics systems. Int. J. Biol. Biomed. Eng., 1: 6-16.
Direct Link  |  

Du, J., D. Huang, X. Wang and X. Gu, 2005. Shape recognition based on radial basis probabilistic neural network and application to plant species identification. Lecturer Notes Comput. Sci., 3497: 281-285.
CrossRef  |  

Ghasab, M.A.J., S. Khamis, F. Mohammad and H.J. Fariman, 2015. Feature decision-making ant colony optimization system for an automated recognition of plant species. Expert Syst. Appl., 42: 2361-2370.
Direct Link  |  

Jalaja, K., C. Bhagvati, B.L. Deekshatulu and Pujari, 2005. Texture element feature characterizations for CBIR. Proc. IEEE. Int., 2: 4-4.
CrossRef  |  Direct Link  |  

Kulkarni, A.H., H.M. Rai, K.A. Jahagirdar and P.S. Upparamani, 2013. A leaf recognition technique for plant classification using RBPNN and Zernike moments. Int. J. Adv. Res. Comput. Commun. Eng., 2: 984-988.
Direct Link  |  

Man, Q.K., C.H. Zheng, X.F. Wang and F.Y. Lin, 2008. Recognition of Plant Leaves Using Support Vector Machine. In: Advanced Intelligent Computing Theories and Applications: With Aspects of Contemporary Intelligent Computing Techniques, Shuang, D.H., C.W. Donald, S.L. Deniel and J.H. Kang (Eds.). Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-540-85929-1, pp: 192-199.

Song, X., Y. Li and W. Chen, 2008. A textural feature-based image retrieval algorithm. Proceedings of the 2008 4th International Conference on Natural Computation, October 18-20, 2008, IEEE, New York, USA., ISBN: 978-0-7695-3304-9, pp: 71-75.

Wang, H., G. Li, Z. Ma and X. Li, 2012. Image recognition of plant diseases based on principal component analysis and neural networks. Proceedings of the 2012 8th International Conference on Natural Computation (ICNC), May 29-31, 2012, IEEE, New York, USA., ISBN: 978-1-4577-2130-4, pp: 246-251.

Wu, Q., C. Zhou and C. Wang, 2006. Feature extraction and automatic recognition of plant leaf using artificial neural network. Adv. Artif. Intell., 3: 5-12.

Zhang, J., G.L. Li and S.W. He, 2008. Texture-based image retrieval by edge detection matching GLCM. Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications (HPCC'08), September 25-27, 2008, IEEE, New York, USA., ISBN: 978-0-7695-3352-0, pp: 782-786.

Zhang, X.L. X.F. Chen and Z.J. He, 2010. Fault diagnosis based on support vector machines with parameter optimization by an ant colony algorithm. Proc. Inst. Mech. Eng. Part C. J. Mech. Eng. Sci., 224: 217-229.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2022 All Rights Reserved