The week's pick
Reseach Article
Fruit Disease Classification based on Texture Features
by
Ranjit K. N. Naveen C. Chethan H. K.
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 49 |
| Year of Publication: 2019 |
| Authors: Ranjit K. N. Naveen C. Chethan H. K. |
10.5120/ijca2019919400
|
Ranjit K. N. Naveen C. Chethan H. K. . Fruit Disease Classification based on Texture Features. International Journal of Computer Applications. 178, 49 ( Sep 2019), 11-15. DOI=10.5120/ijca2019919400
@article{
10.5120/ijca2019919400,
author = {
Ranjit K. N. Naveen C. Chethan H. K.
},
title = { Fruit Disease Classification based on Texture Features },
journal = {
International Journal of Computer Applications
},
issue_date = { Sep 2019 },
volume = { 178 },
number = { 49 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = {
11-15
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume178/number49/30882-2019919400/
},
doi = { 10.5120/ijca2019919400 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:32.797988+05:30
%A Ranjit K. N. Naveen C. Chethan H. K.
%T Fruit Disease Classification based on Texture Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 49
%P 11-15
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Nowadays digitization and automation of machine in agriculture field plays prominent role. In this paper, we have proposed method to classify fruit as diseased and non-diseased. Firstly, we used K means clustering method for segmentation of diseased regions. Later, we used to extract texture features on segmented diseased regions. We have collected fruit diseased images from internet to create dataset and totally we have collect 2500 images from 10 fruit classes. We have conducted extensive experimentation using Probabilistic Neural Network and results shows that proposed method gives better performance compared to SVM and KNN.
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Index Terms
Computer Science
Information Sciences
Keywords