Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System

Nutrients are essential to optimise plant growth. However, adding fertiliser changes the pH of the nutrition solution. This would impact plant growth as each plant types requires a specific pH range to thrive. Due to the nonlinearity characteristics, pH neutralisation adjustment is difficult but ess...

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Autores principales:	Mohammad Farid Saaid, Ahmad Ihsan Mohd Yassin, Nooritawati Md Tahir
Formato:	article
Lenguaje:	EN
Publicado:	UIKTEN 2021
Materias:	pso model ph level hydroponics correlation test acid and alkaline solution Education L Technology T
Acceso en línea:	https://doaj.org/article/394040581aaa4a0ba0206e75f61b7604
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spelling	oai:doaj.org-article:394040581aaa4a0ba0206e75f61b76042021-12-01T20:27:07ZParticle Swarm Optimization (PSO) Model for Hydroponics pH Control System10.18421/TEM104-272217-83092217-8333https://doaj.org/article/394040581aaa4a0ba0206e75f61b76042021-11-01T00:00:00Zhttps://www.temjournal.com/content/104/TEMJournalNovember2021_1694_1699.pdfhttps://doaj.org/toc/2217-8309https://doaj.org/toc/2217-8333Nutrients are essential to optimise plant growth. However, adding fertiliser changes the pH of the nutrition solution. This would impact plant growth as each plant types requires a specific pH range to thrive. Due to the nonlinearity characteristics, pH neutralisation adjustment is difficult but essential. In addition, alkaline solutions are not completely dissociated due to the presence of acid. For these reasons, a mathematical model to estimate the solution's pH would help improve the alkaline and acidic delivery accuracy. This study represents a pH water neutralisation behaviour using Particle Swarm Optimisation algorithm (PSO). The project begins with input and output data acquisition leading to the development of the PSO model. The model fit and residual distribution have also been analysed for this model. The model's performance was accepted based on a correlation test because the lag signal exceeded 95% of the confidence interval. The model also recorded a very minimal error, and this proved that a good agreement is established between the predicted and actual pH values.Mohammad Farid SaaidAhmad Ihsan Mohd YassinNooritawati Md TahirUIKTENarticlepso modelph levelhydroponicscorrelation testacid and alkaline solutionEducationLTechnologyTENTEM Journal, Vol 10, Iss 4, Pp 1694-1699 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pso model ph level hydroponics correlation test acid and alkaline solution Education L Technology T
spellingShingle	pso model ph level hydroponics correlation test acid and alkaline solution Education L Technology T Mohammad Farid Saaid Ahmad Ihsan Mohd Yassin Nooritawati Md Tahir Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
description	Nutrients are essential to optimise plant growth. However, adding fertiliser changes the pH of the nutrition solution. This would impact plant growth as each plant types requires a specific pH range to thrive. Due to the nonlinearity characteristics, pH neutralisation adjustment is difficult but essential. In addition, alkaline solutions are not completely dissociated due to the presence of acid. For these reasons, a mathematical model to estimate the solution's pH would help improve the alkaline and acidic delivery accuracy. This study represents a pH water neutralisation behaviour using Particle Swarm Optimisation algorithm (PSO). The project begins with input and output data acquisition leading to the development of the PSO model. The model fit and residual distribution have also been analysed for this model. The model's performance was accepted based on a correlation test because the lag signal exceeded 95% of the confidence interval. The model also recorded a very minimal error, and this proved that a good agreement is established between the predicted and actual pH values.
format	article
author	Mohammad Farid Saaid Ahmad Ihsan Mohd Yassin Nooritawati Md Tahir
author_facet	Mohammad Farid Saaid Ahmad Ihsan Mohd Yassin Nooritawati Md Tahir
author_sort	Mohammad Farid Saaid
title	Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
title_short	Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
title_full	Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
title_fullStr	Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
title_full_unstemmed	Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System
title_sort	particle swarm optimization (pso) model for hydroponics ph control system
publisher	UIKTEN
publishDate	2021
url	https://doaj.org/article/394040581aaa4a0ba0206e75f61b7604
work_keys_str_mv	AT mohammadfaridsaaid particleswarmoptimizationpsomodelforhydroponicsphcontrolsystem AT ahmadihsanmohdyassin particleswarmoptimizationpsomodelforhydroponicsphcontrolsystem AT nooritawatimdtahir particleswarmoptimizationpsomodelforhydroponicsphcontrolsystem
_version_	1718404566594093056

Particle Swarm Optimization (PSO) Model for Hydroponics pH Control System

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