To Recognize the Crop Growth Rate in Agricultural Land By Using K-Means Clustering Algorithm and Contrast Enhancement Algorithm

Authors(2) :-T. Williams, Dr. P. ShanthiBala

Agriculture is pillars of the entire world. Over 58 percent of the country homes depend on agriculture as their major means of living. Planting high quality crop is the source by which agriculture yield is increased. Because of the vast range of associated sub domain it is having the current attention of the researchers. In this paper, the exploration of different domains associated with agricultural image processing is defined. MATLAB tool used for identifying the crop growth. Contrast Enhancement algorithm help us to find the difference of crop images. K-means clustering algorithms can categorize 1.n. Grey scale images is converted black & white images. After converting Pixel area is calculated. Future work is to find out the varieties of crops present in the particular area depending upon the growth.

Authors and Affiliations

T. Williams
Department of Computer Science Pondicherry University, Kalapet, Puducherry, Tamil Nadu, India
Dr. P. ShanthiBala
Department of Computer Science Pondicherry University, Kalapet, Puducherry, Tamil Nadu, India

Image processing, k-means clustering, algorithm, contrast enhanced algorithm, MATLAB.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-05-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 41-47
Manuscript Number : CSEIT1833633
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

T. Williams, Dr. P. ShanthiBala, "To Recognize the Crop Growth Rate in Agricultural Land By Using K-Means Clustering Algorithm and Contrast Enhancement Algorithm", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.41-47, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833633

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