A Survey on Cluster Analysis Techniques for Plant Disease Diagnosis
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 6|
|Year of Publication : 2016|
|Authors : T.Nagarathinam, Dr. K. Rameshkumar|
How to Cite?
T.Nagarathinam, Dr. K. Rameshkumar, "A Survey on Cluster Analysis Techniques for Plant Disease Diagnosis," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 6, pp. 11-17 , 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I6P103
Plants are one of the major key resources to crack the trouble of global warming in the world. But plant diseases like Blast, canker, Bacterial Leaf Blight; Rice tungro, black spot, Scab, Powdery, Downey, mildew, Speckle, early scorch ashen mold, tiny whiteness, cotton mold, late scorch and etc., stops the growth of the plants. If the diseases are not detected in the early hours then there are decreases in the production of plantation. In this paper we surveyed Cluster Analysis technique for plants diseases detection and diagnosis.
ANN, Brown sport, fuzzy C-means, kmean, Leaf Blast..
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