Using NodeMCU (ESP8266), this study suggests an Internet of Things-based smart plant monitoring and automated irrigation system. A soil moisture sensor and DHT11 sensor are used to monitor environmental factors and soil moisture. To guarantee effective irrigation, a relay-controlled water pump is immediately turned on based on current soil moisture levels. For real-time monitoring, data visualization, and smartphone-based remote control, sensor data is sent to the Blynk IoT platform. The method promotes healthy plant development, avoids water waste, and requires less manual intervention. It is appropriate for home gardens and small-scale agricultural uses because to its affordable and scalable design.

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The intellectual and technical basis for the Plant Monitoring System using IoT is provided by the following sources, which include important ideas in cloud-enabled communication, IoT-based agricultural monitoring, precision irrigation, soil moisture sensing, and smart farming technologies. [1]K. R. Das and T. Nair, “A cloud-enabled precision irrigation system using ESP8266,” Procedia Computer Science, vol. 198, pp. 451–458, 2022, doi: 10.1016/j.procs.2021.12.169. [2]H. Joseph and A. Roy, “Analysis of soil moisture sensor performance for smart agriculture,” IEEE Sensors Journal, vol. 21, no. 12, pp. 14752–14760, 2021, doi: 10.1109/JSEN.2021.3079814. [3]L. Chen and S. Wong, “Low-power IoT devices for agricultural automation,” IEEE Transactions on Green Computing, vol. 11, no. 2, pp. 98–106, 2023, doi: 10.1109/TGC.2022.3189971. [4]M. A. Al-Ghobari, “Internet of Things (IoT) for smart agriculture: Technologies, applications, challenges, and future directions,” Computers and Electronics in Agriculture, vol. 207, pp. 107300, 2024, doi: 10.1016/j.compag.2023.107300. [5]S. R. Biradar and R. C. Biradar, “IoT based monitoring system for smart agriculture using sensors,” Journal of King Saud University – Computer and Information Sciences, vol. 34, no. 5, pp. 2554–2565, 2022, doi: 10.1016/j.jksuci.2020.04.011. [6]J. Wolfert, L. Ge, C. Verdouw, and M.-J. Bogaardt, “Big data in smart farming – A review,” Agricultural Systems, vol. 153, pp. 69–80, 2017, doi: 10.1016/j.agsy.2017.01.023. [7]M. M. U. Chowdhury, M. I. Uddin, M. R. Islam, and M. A. Bakar, “Soil moisture measurement for precision agriculture using IoT-based sensors,” Measurement, vol. 164, pp. 108158, 2020, doi: 10.1016/j.measurement.2020.108158.