Classification of Plants by Using Computer

  • Dr. Kadhim M. Hashim Computer Science Department, College of Education for Pure Sciences, University of Thi-Qar, Nasiriya, Iraq.
  • Walla Rahim Juadih Computer Science Department, College of Education for Pure Sciences, University of Thi-Qar, Nasiriya, Iraq.
Keywords: Primal processing, Features Extraction, Algorithm C4.5.

Abstract

               Computer is very important in our life and they get into all fields. So, in this research computer’s application will be used and it's importantly in recognition and classification plants' leaves, because of fewness of plants' classification experts. The used data base includes (35) types of different special plants after preprocessing on these pictures, the primal processing includes two practicals’: (picture enhancement and verges determine for image). In addition, we extract a group of geometrical features of plants' leaves depending on outwardness surround for leaf. Ten features are extracted. Euclidian for each leaf contains (surround, distance, center, main diameter, second diameter, and Extrema points).  Traditional distance is used for measuring distance between any two points. Then, the leaf of plant is recognized using Algorithm C4.5.

References

Bylaiah, V. (2014). Leaf recognition and matching with Matlab (Doctoral dissertation, Sciences) ‏Cope, J. S., Corney, D., Clark, J. Y., Remagnino, P., & Wilkin, P. (2012). Plant species identification using digital morphometrics: A review. Expert Systems with Applications, 39(8), 7562-7573. ‏

Wu, S. G., Bao, F. S., Xu, E. Y., Wang, Y. X., Chang, Y. F., & Xiang, Q. L. (2007, December). A leaf recognition algorithm for plant classification using probabilistic neural network. In 2007 IEEE international symposium on signal processing and information technology (pp. 11-16). IEEE. ‏

Chaudhary, P., Godara, S., Cheeran, A. N., & Chaudhari, A. K. (2012). Fast and accurate method for leaf area measurement. International journal of computer applications, 49(9), 22-25. ‏

Kulkarni, A. H., Rai, H. M., Jahagirdar, K. A., & Upparamani, P. S. (2013). A leaf recognition technique for plant classification using RBPNN and Zernike moments. International Journal of Advanced Research in Computer and Communication Engineering, 2(1), 984-988. ‏

Patil, V. R., & Manza, R. R. (2016). Orthogonalise Digital Morphological Features Using Principal Component Analysis. ‏

Khirade, S. D., & Patil, A. B. (2015, February). Plant disease detection using image processing. In 2015 International conference on computing communication control and automation (pp. 768-771). IEEE. ‏

Masoud, O. (2000). Tracking and analysis of articulated motion with an application to human motion. University of Minnesota. ‏

Kumar, M., & Saxena, R. (2013). Algorithm and technique on various edge detection: A survey. Signal & Image Processing, 4(3), 65. ‏

Chandel, R., & Gupta, G. (2013). Image filtering algorithms and techniques: A review. International Journal of Advanced Research in Computer Science and Software Engineering, 3(10). ‏

Kaushik, D., Singh, U., Singhal, P., & Singh, V. (2013). Medical image segmentation using genetic algorithm. International Journal of Computer Applications, 81(18), 10-15. ‏

Amalorpavam, G., Naik, H. T., Kumari, J., & Suresha, M. (2013). Analysis of Digital Images Using Morphlogical Operations. International Journal of Computer Science & Information Technology, 5(1), 145. ‏

Stroud, A. H. (1971). Approximate calculation of multiple integrals. ‏

Dr Yeap Ban Har, Dr Joseph Yeo,Teh Keng Seng , Loh Cheng Yee,Ivy Chow,Neo

Chai Meng and Jacinth Liew , “New Syllabus Mathematics Teacher's Resource Book1” ,7th edition,OXFORD UNIVERSITY Press,2018.

Gupta, P. K. (2012). Advanced dynamics of rolling elements. Springer Science & Business Media. ‏

Stroud, A. H. (1971). Approximate calculation of multiple integrals. ‏

-Massoud, M. A., Sabee, M., Gergais, M., & Bakhit, R. (2013). Automated new license plate recognition in Egypt. Alexandria Engineering Journal, 52(3), 319-326.

Published
2021-02-17
Section
Articles