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Fuzzy classifier of paddy growth stages based on synthetic MODIS data

Widjaja, Moeljono and Darmawan, Arief and Mulyono, Sidik (2013) Fuzzy classifier of paddy growth stages based on synthetic MODIS data. 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS).

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Official URL: https://ieeexplore.ieee.org/abstract/document/6468...

Abstract

This paper presents the development of a fuzzy model for classification of paddy growth stages based on synthetic MODIS data. Classification of growth stages is an important process in prediction of crop production using a remote-sensing technology. The proposed approach takes advantages of the nature of a fuzzy system which is able to capture gradual changes/movements by fitting its membership functions. A novel approach to shaping fuzzy input membership functions based on box-plot parameters is also presented. The developed fuzzy model was build and tested on 3935 sets of synthetic MODIS data. The results show that the proposed method was able to classify the growth stages satisfactorily and was robust to handle noises in the data.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (Artificial Intelligence, Machine Learning, 3D Graphics, Digital Video, Data Mining, Augmented Reality)
300 Social Sciences > 330 Economics > 338 Production (Agriculture, Business Enterprise, Extraction of Minerals, General Production)
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 15 Oct 2021 08:58
Last Modified: 15 Oct 2021 08:58
URI: http://kc.umn.ac.id/id/eprint/18822

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