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- Title
Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel.
- Authors
Aisha, Syafira Mohd; Thamrin, Norashikin M.; Ghazali, Muhammad Fariq; Ibrahim, Nik Nor Liyana Nik; Ali, Megat Syahirul Amin Megat
- Abstract
This study has proposed a non-linear autoregressive model to predict one-day ahead dissolved oxygen in paddy field irrigation channel. A 32-day data is obtained from Kampung Padang To' La in Pasir Mas, Kelantan using off-the shelf water quality parameter sensors. Analysis has revealed no correlation between dissolved oxygen with pH and electrical conductivity. A non-linear autoregressive model is then developed using the dissolved oxygen measurements and artificial neural network. A prediction model developed using Levenberg-Marquardt algorithm yielded the best results with overall regression of 0.9253. The model has also passed all correlation tests and can therefore, be accepted.
- Subjects
PREDICTION models; ARTIFICIAL neural networks; AUTOREGRESSIVE models; IRRIGATION; PADDY fields
- Publication
TEM Journal, 2022, Vol 11, Issue 2, p842
- ISSN
2217-8309
- Publication type
Article
- DOI
10.18421/TEM112-43