Abstract
Water monitoring and controlling smart system is proposed to address the limitations of traditional manual irrigation methods in farmlands. These conventional procedures result in waste of resources, including labor and water. To overcome these drawbacks, the proposed system incorporates a comprehensive monitoring approach using soil samples collected from six different locations. Various parameters such as moisture, temperature, humidity, phosphorous, potassium, and nitrogen are monitored using a two-level sensor setup, along with a moisture sensor. The sensors in the proposed work are interfaced with the NodeMCU esp8266 microcontroller. The pump motor’s operation is dependent on inputs from the field water level sensor, well water level sensor, and soil moisture sensor. When the field water level is detected and the well water level is not detected, the pump motor remains off. However, if soil moisture is detected and the well water level is within the desired range, the pump motor is activated accordingly. All the data generated throughout the process are stored and displayed on the Blynk IoT cloud platform. This proposed automated irrigation system offers cost-effectiveness and ecological friendliness and enhances agricultural output while reducing the need for manual labor.
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Nair, R.R., Babu, T., Kishore, S., Nayak, D., Thasmiya, S., Sindhu, S. (2024). Blynk-Enabled Irrigation Monitoring System: Enhancing Irrigation Efficiency with IoT Technology. In: Chakravarthy, V.V.S.S.S., Bhateja, V., Anguera, J., Urooj, S., Ghosh, A. (eds) Advances in Microelectronics, Embedded Systems and IoT. ICMEET 2023. Lecture Notes in Electrical Engineering, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-97-0767-6_29
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DOI: https://doi.org/10.1007/978-981-97-0767-6_29
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