Fuzzy-based Nutrient System for Chili Cultivation in Urban Area

Authors

C. Hairu
Universiti Putra Malaysia image/svg+xml
M. Hanafi
Universiti Putra Malaysia image/svg+xml
T.Z. Hang
Universiti Putra Malaysia image/svg+xml
S. Mashohor
Universiti Putra Malaysia image/svg+xml
W. F. F. Ilahi
Universiti Putra Malaysia image/svg+xml
DOI: https://doi.org/10.52549/ijeei.v10i2.3485
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Published: 10-05-2022 • Issue: Vol. 10 No. 2: June 2022 • Section: Instrumentation_&_Control

Abstract

The right level of nutrients is crucial for chilli cultivation as the crop requires different nutrient levels at different growth stages.  The current fertiliser supply needs many human resources, which is time-consuming.  Thus, an automatic nutrient controlling system giving the exact amount of fertiliser based on Fuzzy logic and IoT technology is proposed in this paper. The proposed system uses Hostinger platform to monitor water level, electrical conductivity (EC) and pH values in real-time. Fuzzy membership functions and rules decide the precise amount of nutrients to chilli plants based on the EC value and water level at each growth stage. The Fuzzy membership functions are designed according to the nutrients requirement in each chilli’s phenological stage. The proposed system results are compared with the traditional approach, where fertilisers are supplied manually every week. The experiment results showed that the proposed system could meet the precise and automatic fertiliser addition requirement, eliminate human intervention and ensure the plants grew well.

 

Keywords: Fuzzy logic control; EC system; IoT; Greenhouse; Chilli

Author Biographies

C. Hairu
Cui Hairu is currently a master of research student at the Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia (UPM). Her research interests are IoT and Artificial Intelligence technology for smart monitoring and controlling, and she has published three conference papers and 1 journal paper in this field.
M. Hanafi
Marsyita Hanafi is currently a Senior Lecturer at the Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia (UPM). She received her Ph.D. in Image Processing and Artificial Intelligence from Imperial College London, UK, in 2012. Her research interests are image processing and artificial intelligence including autonomous vehicles, precision agriculture, biometric, and IoT-based smart monitoring systems. Most of her publications are published in various AI and agriculture-related journals such as AI Review, Computers and Electronics in Agriculture, Postharvest Biology and Technology, nternational Journal of Food Engineering, etc.
T.Z. Hang
Department of Computer and Communication Systems Engineering, Faculty of Engineering
S. Mashohor
Syamsiah Mashohor received her B.Eng degree from Universiti Putra Malaysia (UPM) in 2002. Then, she continued her study for PhD at the Department of Electronics and Electrical Engineering, University of Edinburgh, UK and graduated in 2006. She is associate professor at the Department of Computer and Communication Systems Engineering. Her field of research is on Artificial Intelligence (AI) and Image Processing and most of her publications are published in various AI related journals such as AI Review, Intelligent Service Robotics, PloS one, Excli Journal.
W. F. F. Ilahi
Wan Fazilah received her B.Eng degree from Universiti Putra Malaysia (UPM) in 2006. Then, she continued her study for Master in Agricultural Engineering at Wageningen Univerisity in the Netherlands major in Irrigation and Water Engineering. She pursue her PhD at the Department of Biological and Engineering specialising in Soil and Water Engineering in UPM. She is a senior lecturer at the Department of Agriculture Technology Computer and Communication Systems Engineering. Her field of research is on Agriculture Irrigation and most of her publications are published in various Agriculture related journals such as Horticulture Environment Biotechnology, Pertanika and Sains Malaysiana.

How to Cite

[1]
C. Hairu, M. Hanafi, T. Hang, S. Mashohor, and W. F. F. Ilahi, “Fuzzy-based Nutrient System for Chili Cultivation in Urban Area”, IJEEI, vol. 10, no. 2, pp. 366–374, May 2022, doi: 10.52549/ijeei.v10i2.3485.