Author : Raikar Saishree D 1
Date of Publication :7th December 2015
Abstract: This paper provides identification of the diseases at early stages in pepper and pomegranate plants using image processing techniques. Image processing and standard data base is extensively used in the proposed work. Various nutritional disorders of pepper and pomegranate plant lead to change in color of the leaf. These visual symptoms are derived from images of the defected leaves of pepper and pomegranate plants. By detecting nutrient deficiency with this method, plant life span and yield can be improved by providing proper and suitable quantity of manure. MATLAB and Laboratory Virtual Instrument Engineering Workbench (LabVIEW) are the used tools in this process. LabVIEW provides Visual programming methods for image acquisition, image processing. MATLAB and LabVIEW provide easy and convenient methodologies for image processing techniques.
Reference :
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[1] K. Arthi, Mr. J. Vijayaraghavan, “Content Based Image Retrieval Algorithm Using Color Models,” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 3, March 2013.
[2] B. Sathya Bama, S. Mohana Valli, S. Raju, V. Abhai Kumar, “Content based leaf image retrieval (CBLIR) using shape, color and texture features,” Indian Journal of Computer Science and Engineering (IJCSE) ISSN : 0976- 5166,Vol.2, Issue 2, April-May 2011.
[3]Guang-Hai Liu, Jing-Yu Yang, “Content-based image retrieval using color difference histogram,” Pattern Recognition 46 (2013) 188–198, May 2012.
[4] Anand. H. Kulkarni, Ashwini Patil R. K, “Applying image processing technique to plant diseases,” International Journal of Modern Engineering Research, Vol.2, Issue 5, pp-3661-3664, Sep-Oct. 2012.
[5] Reshma Choudhary, A. M. Patil, “Contest based image retrieval using color and shape features”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 1, Issue 5, November 2012