Authors : Kadima Muamba Donatien; Kabaubabo Kalombo Jean-Jacques; Mavula Kikwe Alexis; Kako Gbolo Etienne

Volume/Issue : Volume 11 - 2026, Issue 2 - February

Google Scholar : https://tinyurl.com/3n3ux7vk

Scribd : https://tinyurl.com/ff5u8s93

DOI : https://doi.org/10.38124/ijisrt/26feb1158

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Abstract : Peri-urban agriculture in the Democratic Republic of Congo remains heavily dependent on natural rainfall, leading to significant yield variability in the dry season. According to the FAO, irrigation accounts for approximately 70% of global freshwater withdrawals [5], highlighting the importance of optimized water resource management. This study proposes the design and implementation of an autonomous Internet of Things (IoT)-based irrigation system to optimize water use at Green Village (Kinshasa). The architecture is based on an ESP32 microcontroller, soil moisture and climate sensors, and cloud supervision. The results show a yield decrease of up to 50% in the dry season and a lengthening of the crop cycle from 21 to 45 days. The proposed solution allows for real-time adaptive irrigation, reducing water loss and stabilizing production.

Keywords : Smart Irrigation, Agricultural IoT, Precision Agriculture, Water Optimization, ESP32, Peri-Urban Agriculture

References :

1. L. Li, H. Zhang and H. Shen, “Real-Time Smart Irrigation System Based on IoT and Cloud Computing,” IEEE Access, vol. 8, pp. 102567–102576, 2020.
2. J. Gutierrez, J. F. Villa-Medina, A. Nieto-Garibay and M. A. Porta-Gandara, “Automated Irrigation System Using a Wireless Sensor Network and GPRS Module,” IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 1, pp. 166–176, 2014.
3. M. A. Zamora-Izquierdo, J. Santa and A. F. Skarmeta, “An Integral and Networked Home Automation Solution for Indoor Air Quality Monitoring and Control,” Sensors, vol. 19, no. 3, 2019.
4. S. R. Nandhini and P. Radha, “IoT Based Smart Irrigation System Using Soil Moisture Sensors,” International Journal of Recent Technology and Engineering, vol. 8, no. 2, pp. 2277–3878, 2019.
5. FAO, “The State of the World’s Land and Water Resources for Food and Agriculture (SOLAW),” Food and Agriculture Organization of the United Nations, Rome, 2021.
6. R. Rayhana, M. Xiao and Y. Liu, “Smart Agriculture Monitoring System Using ESP32 Microcontroller,” Computers and Electronics in Agriculture, vol. 175, 2020.
7. A. Kim, L. Evans and W. Iversen, “Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network,” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 7, pp. 1379–1387, 2008.
8. A. Talavera et al., “Review of IoT Applications in Agro-Industrial and Environmental Fields,” Computers and Electronics in Agriculture, vol. 142, pp. 283–297, 2017.
9. United Nations World Water Assessment Programme, “World Water Development Report 2023,” UNESCO, Paris, 2023.
10. P. Jones, D. K. Smith and R. Brown, “Low-Cost IoT Irrigation System for Developing Countries,” Sustainable Computing: Informatics and Systems, vol. 28, 2020.