Cotton Leaf Spot Diseases Detection Utilizing Feature Selection with Skew Divergence Method
@article{Revathi2014CottonLS, title={Cotton Leaf Spot Diseases Detection Utilizing Feature Selection with Skew Divergence Method}, author={P. Revathi and M. Hemalatha}, journal={International Journal of Scientific Engineering and Technology}, year={2014}, volume={3}, pages={22-30} }
This research work exposes the novel approach of analysis at existing works based on machine vision system for the identification of the visual symptoms of Cotton crop diseases, from RGB images. Diseases regions of cotton crops are revealed in digital pictures, Which were amended and segmented. In this work Proposed Enhanced PSO feature selection method adopts Skew divergence method and user features like Edge, Color, Texture variances to extract the features. Set of features was extracted from… CONTINUE READING
Figures and Tables from this paper
34 Citations
Image Processing Based Approach for Diseases Detection and Diagnosis on Cotton Plant Leaf
- Computer Science
- 2020
- 1
Random forest based classification of diseases in grapes from images captured in uncontrolled environments
- Computer Science
- 2016 IEEE 13th International Conference on Signal Processing (ICSP)
- 2016
- 9
AN EFFICIENT DISEASE DIAGNOSTIC AND TREATMENT SYSTEM FOR COTTON PLANT USING DIGITAL IMAGE PROCESSING
- Biology
- 2015
- PDF
Detection and classification of diseases of Grape plant using opposite colour Local Binary Pattern feature and machine learning for automated Decision Support System
- Computer Science
- 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)
- 2016
- 36
References
SHOWING 1-10 OF 31 REFERENCES
Features selection of cotton disease leaves image based on fuzzy feature selection techniques
- Mathematics
- 2007 International Conference on Wavelet Analysis and Pattern Recognition
- 2007
- 55
Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features
- Mathematics
- 2013
- 266
- PDF
Grape leaf disease detection from color imagery using hybrid intelligent system
- Engineering
- 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
- 2008
- 144
An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers
- Computer Science
- Applied Intelligence
- 2007
- 134
Feature Selection: Evaluation, Application, and Small Sample Performance
- Computer Science
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1997
- 2,166
- PDF