IoT-Based Smart Fertigation System for Citrus Plants using Fuzzy Logic Control

  • Ircham Ali Universitas Nahdlatul Ulama Indonesia, Indonesia https://orcid.org/0000-0003-0282-6992
  • Adrinoviarini Adrinoviarini Universitas Nahdlatul Ulama Indonesia, Indonesia
  • Oka Ardiana Banaty Ministry of Agriculture, Indonesia, Indonesia
  • Mohammad Insan Kamil Universitas Nahdlatul Ulama Indonesia, Indonesia
Keywords: Smart fertigation, internet of things, citrus plants, fuzzy logic control, water efficiency

Abstract

This study develops and evaluates an IoT-based smart fertigation system for citrus plants using a fuzzy logic control (FLC) algorithm integrated with an ESP32 microcontroller and wireless sensors. The research aims to address the limitations of conventional fertigation practices that rely on fixed schedules without considering real-time soil and climate conditions, which often result in water inefficiency and nutrient imbalance. The developed system integrates sensors for soil moisture, temperature, and air humidity to automatically regulate irrigation duration through triangular membership functions and a fuzzy inference model consisting of 64 fuzzy rule combinations. Over a 30-day observation period, twelve citrus seedlings aged 3-4 months after grafting were organized into four experimental groups: manual fertigation (MF), manual irrigation (MI), smart fertigation (SF), and smart irrigation (SI). Experimental findings indicated that the smart fertigation system-maintained soil moisture within a more stable range of 40-55%, and plants in the SF group experienced approximately 7 cm greater height and a twofold increase in leaf count compared to manually irrigated ones. The smart fertigation treatment also produced more uniform, greener, and healthier foliage, signifying balanced nutrient uptake. Overall, the IoT–FLC integration provides a more adaptive and eco-efficient irrigation model that promotes sustainable management of water and nutrients in tropical citrus cultivation.

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References

A. P. Saraswati, S. Sutopo, and S. Kurniawan, “Effect of Organic Fertilizer Form and Dosage on Soil Chemical Properties, Leaf Macro Nutrient Content and Vegetative Growth of Siamese Orange (Citrus nobilis Lour) seedlings,” J. Tanah dan Sumberd. Lahan, vol. 9, no. 1, pp. 29–36, 2022, doi: 10.21776/ub.jtsl.2022.009.1.4.

M. K. Kiteto, B. M. Vidija, and C. A. Mecha, “Production of bioethanol from citrus peel waste: A techno – economic feasibility study,” Energy Convers. Manag. X, vol. 26, no. January, p. 100916, 2025, doi: 10.1016/j.ecmx.2025.100916.

J. Pereira, D. S. Junior, D. M. Kadyampakeni, M. A. Shahid, R. De Mello, and J. L. Prieto, “Plant Stress Mitigating abiotic stress in citrus : the role of silicon for enhanced productivity and quality,” Plant Stress, vol. 16, no. April, p. 100837, 2025, doi: 10.1016/j.stress.2025.100837.

T. Adamo, D. Caivano, L. Colizzi, G. Dimauro, and E. Guerriero, “Optimization of irrigation and fertigation in smart agriculture: An IoT-based micro-services framework,” Smart Agric. Technol., vol. 11, p. 100885, Aug. 2025, doi: 10.1016/j.atech.2025.100885.

A. A. Almadiy, A. E. Shaban, A. M. Ibrahim, S. M. Balhareth, S. F. El-Gioushy, and E. S. G. Khater, “Partially substituting chemical NPK fertilizers and their impact on Eureka lemon trees (Citrus limon L. Burm) productivity and fruit quality,” Sci. Rep., vol. 13, no. 1, pp. 1–13, 2023, doi: 10.1038/s41598-023-37457-7.

R. Niu et al., “Root Reduction Caused Directly or Indirectly by High Application of Nitrogen Fertilizer Was the Main Cause of the Decline in Biomass and Nitrogen Accumulation in Citrus Seedlings,” Plants, vol. 13, no. 7, 2024, doi: 10.3390/plants13070938.

M. Salimath, N. Kaliannan, V. Prabhakar, R. Iyyakutty, and K. J. Jeyabaskaran, “IoT and sensor technologies: Increased water and nutrient savings and profit in Banana cv. Grand Nain (AAA) production,” Sci. Hortic. (Amsterdam)., vol. 341, pp. 1–9, 2025, doi: 10.1016/j.scienta.2025.113982.

X. Wang et al., “Design of an integrated gate irrigation system with measurement and control based on Cloud-Edge-End collaboration and fuzzy algorithm,” Comput. Electron. Agric., vol. 239, p. 111035, 2025, doi: doi.org/10.1016/j.compag.2025.111035.

M. Alkaff, A. Fajar Zulkarnain, and M. Iqbal Rizqi, “IoT Based Monitoring and Control System of Siam Banjar Orange Plants using Fuzzy Logic Control,” IT J. Res. Dev., vol. 7, no. 1, pp. 73–85, 2022, doi: 10.25299/itjrd.2022.9651.

M. F. Azim, M. F. Fakhruddin, R. N. Fawwas, and D. O. Radianto, “Optimalisasi Limbah Kulit Buah Nanas, Jeruk, dan Buah Naga Sebagai Bahan Baku Pembuatan Pupuk Organik Cair,” J. Multidisiplin Ilmu, vol. 2, no. 2, pp. 50–58, 2024.

L. Bao et al., “Intelligent drip fertigation increases water and nutrient use efficiency of watermelon in greenhouse without compromising the yield,” Agric. Water Manag., vol. 282, p. 108278, May 2023, doi: 10.1016/j.agwat.2023.108278.

B. Seta, A. Riyanto, and N. R. Saufa, “Sistem Fertigasi Tetes Otomatis untuk Tanaman Carolina Reaper Berbasis Mikrokontroller,” J. Electr. Netw. Syst. Sources, vol. 3, no. 2, pp. 164–171, 2024.

I. Ali, S. Warisma, and A. Aljabar, “Arduino Microcontroller-Based Automatic Irrigation System for Grape Cultivation,” J. Artif. Intell. Eng. Appl., vol. 5, no. 1, pp. 816–821, Oct. 2025, doi: 10.59934/jaiea.v5i1.1477.

A. García-Chica, R. M. Chica, J. J. Caparros-Mancera, A. Giménez-Fernández, and J. L. Torres-Moreno, “Future of smart greenhouses in Almería: Farmers’ perspectives and fuzzy logic-based evaluation,” Smart Agric. Technol., vol. 12, p. 101515, 2025, doi: doi.org/10.1016/j.atech.2025.101515.

S. Roy and R. S. Chakraborty, “Low-cost smart irrigation solution for efficient water use and requirement prediction,” Comput. Electr. Eng., vol. 125, p. 110420, 2025, doi: doi.org/10.1016/j.compeleceng.2025.110420.

N. Jennan and E. M. Mellouli, “Optimal fixed-time sliding mode control for anti-lock braking systems based fuzzy logic and neural network,” Results Eng., vol. 25, no. January, p. 103921, 2025, doi: 10.1016/j.rineng.2025.103921.

M. I. H. Samsuddin, A. N. S. Kamal, M. D. A. Kamal, and T. N. T. Ibrahim, “Sistem Fertigasi Automatik,” Multidiscip. Appl. Res. Innov., vol. 3, no. 1, pp. 403–410, 2022.

R. Tang et al., “Design and Implementation of an Autonomous Intelligent Fertigation System for Cross-Regional Applications,” Actuators, vol. 14, no. 9, p. 413, Aug. 2025, doi: 10.3390/act14090413.

M. K. Meriç, “Implementation of a wireless sensor network for irrigation management in drip irrigation systems,” Sci. Rep., vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-97303-w.

H. Zhang and M. Li, “Towards an intelligent and automatic irrigation system based on internet of things with authentication feature in VANET,” J. Inf. Secur. Appl., vol. 88, p. 103927, 2025, doi: doi.org/10.1016/j.jisa.2024.103927.

M. R. Al Mamun, A. K. Ahmed, S. M. Upoma, M. Haque, and M. Ashik-E-Rabbani, “IoT-enabled solar-powered smart irrigation for precision agriculture,” Smart Agric. Technol., vol. 10, p. 100773, 2025, doi: doi.org/10.1016/j.atech.2025.100773.

R. K. Kasera and T. Acharjee, “A Comprehensive IoT edge based smart irrigation system for tomato cultivation,” Internet of Things, vol. 28, p. 101356, 2024, doi: doi.org/10.1016/j.iot.2024.101356.

M. Gheisari et al., “An efficient cluster head selection for wireless sensor network-based smart agriculture systems,” Comput. Electron. Agric., vol. 198, p. 107105, 2022, doi: doi.org/10.1016/j.compag.2022.107105.

A. Morchid, Z. Said, A. Y. Abdelaziz, P. Siano, and H. Qjidaa, “Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture,” Smart Agric. Technol., vol. 11, p. 100979, Aug. 2025, doi: 10.1016/j.atech.2025.100979.

D. Muhammed, E. Ahvar, S. Ahvar, M. Trocan, M. J. Montpetit, and R. Ehsani, “Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions,” J. Netw. Comput. Appl., vol. 228, no. May, p. 103905, 2024, doi: 10.1016/j.jnca.2024.103905.

Published
2025-11-10
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How to Cite
Ali, I., Adrinoviarini, A., Banaty, O. A., & Kamil, M. I. (2025). IoT-Based Smart Fertigation System for Citrus Plants using Fuzzy Logic Control. Journal of Information Systems and Informatics, 7(4), 3549-3570. https://doi.org/10.63158/journalisi.v7i4.1318
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Articles