Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network
Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network
Author(s): Mohd Khairi Nordin, Mohammad Farid Saaid, Nooritawati Md Tahir, Ahmad Ihsan Mohd Yassin, Megat Syahirul Amin Megat AliSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Dynamic response; root diameter change; orchid; NARX; neural network
Summary/Abstract: 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.
Journal: TEM Journal
- Issue Year: 11/2022
- Issue No: 4
- Page Range: 1553-1562
- Page Count: 10
- Language: English