I-PEDIA: Mobile application for paddy disease identification using fuzzy entropy and probabilistic neural network

Author

Majid, Kholis ; Herdiyeni, Yeni ; Rauf, Abdul Mannan

Author_Institution

Dept. of Comput. Sci., Bogor Agric. Univ. (IPB), Bogor, Indonesia

fYear

2013

fDate

28-29 Sept. 2013

Firstpage

403

Lastpage

406

Abstract

This research developed a mobile application for paddy plant disease identification system using fuzzy entropy and classifier probabilistic neural network (PNN) that runs on Android mobile´s operating system. Paddy diseases are a major cause of yield loss and lower profit in rice production. Paddy diseases are extracted from digital paddy leaf images using fuzzy entropy and then the diseases are classified using PNN. Cross validation is used for assessing how the results of a statistical analysis will generallize to an independent data set. The experiment result shows that the accuracy of paddy diseases identification is 91.46%.

Keywords

Android (operating system); crops; fuzzy set theory; image classification; mobile computing; neural nets; plant diseases; probability; statistical analysis; Android mobile operating system; I-PEDIA; PNN; classifier probabilistic neural network; cross validation; digital paddy leaf images; disease classification; fuzzy entropy; paddy disease identification; paddy plant disease identification system; profit; rice production; statistical analysis; yield loss; Diseases; Entropy; Feature extraction; Microorganisms; Mobile communication; Neural networks; Probabilistic logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on

Conference_Location

Bali

Type

conf

DOI

10.1109/ICACSIS.2013.6761609

Filename

6761609