IoT-Based Innovative Irrigation System for Chili Using Telegram Bot and Web Dashboard

Authors

  • Zulfa Fahrunnisa Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia
  • Arizal Mujibtamala Nanda Imron Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia
  • Inta Nurkhaliza Agiska Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia
  • Wahyu Muldayani Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia
  • Gamma Aditya Rahardi Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia
  • Candra Putri Rizkiyah Ramadhani Electronics Engineering Technology Study Program, Electrical Engineering Department, Universitas Jember, Jember, Indonesia

DOI:

https://doi.org/10.30871/jaee.v10i1.12251

Keywords:

Internet of Things (IoT), Smart Irrigation, Soil Moisture Sensor, Telegram Bot, Web Dashboard

Abstract

Chili cultivation requires timely irrigation to maintain soil moisture, yet manual watering is inefficient and difficult to supervise remotely. This paper proposes an IoT-based irrigation system integrating a Telegram bot and a web dashboard for real-time monitoring and control. A soil-moisture sensor provides input to an ESP32 microcontroller, which drives a relay-operated pump using a threshold rule (ON when moisture <30%) and supports manual override via Telegram commands. Sensor readings are logged to Firebase and visualized on a Flask-based dashboard, which features moisture trend graphs. Telegram delivers notifications and supports command-based interaction. Experiments demonstrate an average accuracy of 98,57% and precision of 99,93% compared to a reference meter. End-to-end tests confirm a 0% delivery error, a Telegram notification latency of 1,0–1,8 seconds, and a pump response time of 5,3–5,9 seconds, demonstrating effective automation with practical remote supervision.

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References

[1] Y. N. Muflikh, C. Smith, C. Brown, and A. A. Aziz, “Analysing price volatility in agricultural value chains using systems thinking: A case study of the Indonesian chilli value chain,” Agric. Syst., vol. 192, p. 103179, Aug. 2021, doi: 10.1016/j.agsy.2021.103179.

[2] S. Barik et al., “Breeding peppers for industrial uses: Progress and prospects,” Ind. Crops Prod., vol. 178, p. 114626, Apr. 2022, doi: 10.1016/j.indcrop.2022.114626.

[3] M. Y. Kabir, S. U. Nambeesan, J. Bautista, and J. C. Díaz-Pérez, “Effect of irrigation level on plant growth, physiology and fruit yield and quality in bell pepper (Capsicum annuum L.),” Sci. Hortic. (Amsterdam)., vol. 281, p. 109902, Apr. 2021, doi: 10.1016/j.scienta.2021.109902.

[4] A. S. Bello, S. Huda, Z.-H. Chen, M. Alsafran, M. Abdellatif, and T. Ahmed, “Maximizing crop yield and economic benefit through water and nitrogen optimization in bell pepper,” Agric. Water Manag., vol. 312, p. 109447, May 2025, doi: 10.1016/j.agwat.2025.109447.

[5] S. Mohammed and A. Hussen, “Influence of deficit irrigation levels on agronomic performance of pepper (Capsicum annuum L.) under drip at alage, central rift valley of Ethiopia,” PLoS One, vol. 18, no. 11, p. e0280639, Nov. 2023, doi: 10.1371/journal.pone.0280639.

[6] V. et al. Ntanasi, “Yield response of Capsicum annuum to water stress in a Mediterranean environment,” Plants, vol. 14, no. 13, pp. 16–19, 2025.

[7] H. Tian, G. Fan, X. Xiong, H. Wang, S. Zhang, and G. Geng, “Characterization and transformation of the CabHLH18 gene from hot pepper to enhance waterlogging tolerance,” Front. Plant Sci., vol. 14, Jan. 2024, doi: 10.3389/fpls.2023.1285198.

[8] G. P. Pereira, M. Z. Chaari, and F. Daroge, “IoT-Enabled Smart Drip Irrigation System Using ESP32,” IoT, vol. 4, no. 3, pp. 221–243, Jul. 2023, doi: 10.3390/iot4030012.

[9] A. Morchid, I. G. Muhammad Alblushi, H. M. Khalid, R. El Alami, S. R. Sitaramanan, and S. M. Muyeen, “High-technology agriculture system to enhance food security: A concept of smart irrigation system using Internet of Things and cloud computing,” J. Saudi Soc. Agric. Sci., Feb. 2024, doi: 10.1016/j.jssas.2024.02.001.

[10] A. et al. Morchid, “Innovative IoT-based solution for smart irrigation systems to optimize water consumption and enhance agricultural productivity in Morocco,” Sci. African, vol. 18, Aug. 2025.

[11] A. Morchid, R. Jebabra, H. M. Khalid, R. El Alami, H. Qjidaa, and M. Ouazzani Jamil, “IoT-based smart irrigation management system to enhance agricultural water security using embedded systems, telemetry data, and cloud computing,” Results Eng., vol. 23, p. 102829, Sep. 2024, doi: 10.1016/j.rineng.2024.102829.

[12] Y. Zhang, X. Chen, S. Geng, and X. Zhang, “A review of soil waterlogging impacts, mechanisms, and adaptive strategies,” Front. Plant Sci., vol. 16, Feb. 2025, doi: 10.3389/fpls.2025.1545912.

[13] D. Pascoal et al., “Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard,” Algorithms, vol. 18, no. 9, p. 563, Sep. 2025, doi: 10.3390/a18090563.

[14] X. et al Li, “Accuracy calibration and evaluation of capacitance-based soil moisture sensors for a variety of soil properties,” Agric. Water Manag., vol. 273, Nov. 2022.

[15] A. A. Abdelmoneim, C. M. Al Kalaany, R. Khadra, B. Derardja, and G. Dragonetti, “Calibration of Low-Cost Capacitive Soil Moisture Sensors for Irrigation Management Applications,” Sensors, vol. 25, no. 2, p. 343, Jan. 2025, doi: 10.3390/s25020343.

[16] A. et al Adla, “Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance,” J. Environ. Manage., vol. 353, Feb. 2024.

[17] D. N. Bestari and A. Wibowo, “IoT Based Real-Time Weather Monitoring System Using Telegram Bot and Thingsboard Platform,” Int. J. Interact. Mob. Technol., vol. 17, no. 06, pp. 4–19, Mar. 2023, doi: 10.3991/ijim.v17i06.34129.

[18] P. Thongnim and W. Sirichote, “Smart farming solutions for durian cultivation using IoT and chatbot integration for precision agriculture,” Discov. Internet Things, 2025.

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Published

2026-06-29

How to Cite

Fahrunnisa, Z., Imron, A. M. N., Agiska, I. N., Muldayani, W., Rahardi, G. A., & Ramadhani, C. P. R. (2026). IoT-Based Innovative Irrigation System for Chili Using Telegram Bot and Web Dashboard. Journal of Applied Electrical Engineering, 10(1), 17–22. https://doi.org/10.30871/jaee.v10i1.12251

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