International Journal of Advances in Intelligent Informatics
Vol 4, No 1 (2018): March 2018

Identification of virtual plants using bayesian networks based on parametric L-system

Suhartono Suhartono (Universitas Islam Negeri Maulana Malik Ibrahim, Malang)
Fachrul Kurniawan (Universitas Islam Negeri Maulana Malik Ibrahim, Malang)
Bahtiar Imran (Sekolah Tinggi Manajemen Informatika Komputer, Mataram)



Article Info

Publish Date
31 Mar 2018

Abstract

Parametric L-System is a method for modelling virtual plants. Virtual plant modelling consists of components of axiom and production rules for alphabets in parametric L-System. Generally, to get the alphabet in parametric L-System, one would guess the production rules and perform a modification on the axiom. The objective of this study was to build virtual plant that was affected by the environment. The use of Bayesian networks was to extract the information structure of the growth of a plant as affected by the environment. The next step was to use the information to generate axiom and production rules for the alphabets in the parametric L-System. The results of program testing showed that among the five treatments, the combination of organic and inorganic fertilizer was the environmental factor for the experiment. The highest result of 6.41 during evaluation of the virtual plant came from the treatment with combination of high level of organic fertilizer and medium level of inorganic fertilizer. Mean error between real plant and virtual plan was 9.45 %.

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Journal Info

Abbrev

IJAIN

Publisher

Subject

Computer Science & IT

Description

International journal of advances in intelligent informatics (IJAIN) e-ISSN: 2442-6571 is a peer reviewed open-access journal published three times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and ...