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

• Published in: TEM Journal
• Main Author: Saaid M.F.; Yassin A.I.M.; Tahir N.M.
• Format: Article
• Language: English
• Published: UIKTEN - Association for Information Communication Technology Education and Science 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121813305&doi=10.18421%2fTEM104-27&partnerID=40&md5=dfd392d41935a47d875669b7f28f89c0

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. © 2021. Mohammad Farid Saaid, Ahmad Ihsan Mohd Yassin & Nooritawati Md Tahir; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.