Vol.11, No.4, November 2022.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network


Mohd Khairi Nordin, Mohammad Farid Saaid, Nooritawati Md Tahir, Ahmad Ihsan Mohd Yassin, Megat Syahirul Amin Megat Ali


© 2022 Megat Syahirul Amin Megat Ali, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1553-1562, ISSN 2217-8309, DOI: 10.18421/TEM114-16, November 2022.


Received: 12 July 2022.

Revised:   09 September 2022.
Accepted:  24 September 2022.
Published: 25 November 2022.




Understanding the dynamic behaviour of plants is vital for realization of precision agriculture systems. This paper proposes a dynamic response model of root diameter to changes in temperature and relative humidity for commercial epiphytic orchids. A Vanda hybrid orchid is used for this study. Root diameter changes, temperature, and relative humidity measurements are logged for fifty-one days. The dynamic response of the root diameter changes is analysed and modelled using non-linear autoregressive with exogenous input neural network. The best performance is obtained with Levenberg-Marquardt algorithm, yielding the best overall regression, lowest mean squared error, and fastest training speed.


Keywords – – Dynamic response, root diameter change, orchid, NARX, neural network.



Full text PDF >  



Copyright © 2022 UIKTEN
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence