IoT Based Plant Health Monitoring System

Authors

  • Khushi Yelwankar, Lakhan Tiwari, Mohammed Khan, Dr. L.N. Gahlod

Keywords:

IoT, Plant Health Monitoring, DHT11, Soil Moisture Sensor, Arduino Uno, NodeMCU, Smart Agriculture

Abstract

The Internet of Things (IoT) has revolutionized modern agriculture by enabling automation, remote monitoring, and efficient resource utilization. This paper presents an IoT- Based Plant Health Monitoring System that continuously monitors soil moisture, humidity, temperature, and water level conditions using smart sensors and wireless communication technologies. The proposed system uses Arduino Uno, NodeMCU ESP8266, DHT11 sensors, and soil moisture sensors for real-time monitoring and automated irrigation. Sensor data is uploaded to cloud platforms, allowing farmers to monitor agricultural conditions remotely through smartphones or computers. The proposed system minimizes water wastage, reduces manual labor, improves irrigation efficiency, and enhances crop productivity. Additionally, the system incorporates a buzzer- based alert mechanism to prevent crop damage caused by animal intrusion. Real-time telemetry data is synchronized with IoT cloud platforms, enabling remote monitoring and administrative control through smartphones and web interfaces. Experimental analysis demonstrates that the proposed system significantly optimizes water utilization and reduces manual intervention in agricultural operations.

References

Asha, H. V., et al. "Smart Agricultural Monitoring System Using Internet of Things." Emerging

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Garg, Bhumika, et al. "IoT based Smart Agriculture Monitoring System", 2019.

Haque, Md Shadman Tajwar, et al. "Design and Implementation of an IoT based Automated Agricultural Monitoring and Control System." 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2019.

Kamienski, Carlos, et al. "Smart water management platform: IoT-based precision irrigation for agriculture," Sensors, Vol. 19.2, 2019, p. 276.

Khattab, Ahmed, et al. "An IoT-based cognitive monitoring system for early plant disease forecast." Computers and Electronics in Agriculture, Vol. 166, 2019, p. 105028.

Raj, Shivang, et al. "IoT based model of automated agricultural system in India." 2019 3rd

Research in Computing, Information, Communication and Applications, Springer, Singapore, 2019, pp. 473-482.

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How to Cite

Khushi Yelwankar, Lakhan Tiwari, Mohammed Khan, Dr. L.N. Gahlod. (2026). IoT Based Plant Health Monitoring System. International Journal of Research & Technology, 14(2), 957–964. Retrieved from https://ijrt.org/j/article/view/1378

Issue

Section

Original Research Articles

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