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Statistics report
Apr
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper


Paper Title :
Chilli Disease Detection

Author :Shweta Joshi, Gayatri Jamadar, Sagar Nachan, R.R.Itkarkar

Article Citation :Shweta Joshi ,Gayatri Jamadar ,Sagar Nachan ,R.R.Itkarkar , (2015 ) " Chilli Disease Detection " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 34-37, Volume-3, Issue-2

Abstract : This project aims at the analysis of chilli disease. The system overcomes the manual efforts of analyzing the diseased affected area in chilli and gives us the best results obtained by the analysis of the diseased area in chilli fruit. Any image of chilli is captured and various color image processing techniques are applied on the image to find out the disease area in the captured image of chilli. To remove unwanted noise from the captured image, different preprocessing and filtering techniques are used. To enhance, the image intensity is increased and after that feature extraction is done. Color feature is extracted from the preprocessed image using the RGB color model. Based on statistical and feature extraction result chilli is classified into two category diseased chilli and normal or healthy chilli. Keywords- Image processing, Chilli fruit, Feature extraction, Disease affected.

Type : Research paper

Published : Volume-3, Issue-2


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