Authors :
Badipati Chinna Babu; P. Venu; V. Ravindra Kumar; Y. Jhansi; K. Geethanjali
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/yc52mw57
Scribd :
https://tinyurl.com/yrtjuvk6
DOI :
https://doi.org/10.38124/ijisrt/25apr1035
Google Scholar
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Abstract :
The project presents the design and implementation of a cost-effective IoT-based smart irrigation system aimed
at enhancing agricultural efficiency through automation and remote monitoring. Utilizing an ESP32/NodeMCU
microcontroller as the core unit, the system integrates a capacitive soil moisture sensor, DHT11 temperature and humidity
sensor, relay module, and water pump or solenoid valve to automate irrigation based on real-time soil moisture readings.
An LCD display and GSM module provide on-site monitoring and SMS alerts to keep farmers informed of environmental
conditions and system status. The hardware and software components were carefully chosen to maintain low cost while
ensuring reliable performance. Field testing under various environmental conditions demonstrated consistent sensor
accuracy, effective pump control, and significant water conservation. The system, developed at an approximate cost of
₹2,970, proved suitable for small to medium-scale farms, especially in rural areas. Its successful operation confirms the
potential of IoT in promoting sustainable farming, optimizing resource utilization, and improving overall crop management,
establishing a scalable foundation for future smart agriculture innovations.
Keywords :
Smart Irrigation, IoT, Automation, Soil Moisture Sensors, Smart Farming, Real-Time Data Analysis.
References :
- Ahmed, M., et al. (2019). "IoT-Enabled Smart Irrigation Systems: A Review," International Journal of Agricultural Technology, 15(3), 567-579.
- Patel, R., et al. (2020). "Precision Irrigation with IoT: An Overview," Journal of Precision Agriculture, 22(5), 411-423.
- Singh, K., et al. (2020). "IoT-Based Smart Irrigation: Advances and Challenges," Environmental Monitoring and Assessment, 192(1), 3-15.
- Reddy, P., et al. (2020). "A Review on IoT Applications in Smart Agriculture Irrigation," Journal of Agricultural Engineering, 47(6), 145-159.
- Das, A., et al. (2021). "Sensor-Based IoT Smart Irrigation System: A Comprehensive Review," Sensors, 21(4), 1230-1245.
- Verma, R., et al. (2021). "IoT in Agricultural Irrigation Systems: Benefits and Implementation," Agricultural Water Management, 243, 106437.
- Mishra, S., et al. (2021). "IoT-Driven Drip Irrigation for Sustainable Agriculture," Sustainable Agriculture Reviews, 49, 145-157.
- Chen, L., et al. (2021). "Cloud-Connected Smart Irrigation Using IoT," Journal of Internet of Things, 8(2), 213-227.
- Yadav, N., et al. (2021). "Real-Time Irrigation Control Using IoT: A Survey," Computers and Electronics in Agriculture, 180, 105698.
- Ali, H., et al. (2021). "Review on Smart Irrigation Using IoT and Wireless Sensor Networks," Journal of Network and Computer Applications, 174, 102863.
The project presents the design and implementation of a cost-effective IoT-based smart irrigation system aimed
at enhancing agricultural efficiency through automation and remote monitoring. Utilizing an ESP32/NodeMCU
microcontroller as the core unit, the system integrates a capacitive soil moisture sensor, DHT11 temperature and humidity
sensor, relay module, and water pump or solenoid valve to automate irrigation based on real-time soil moisture readings.
An LCD display and GSM module provide on-site monitoring and SMS alerts to keep farmers informed of environmental
conditions and system status. The hardware and software components were carefully chosen to maintain low cost while
ensuring reliable performance. Field testing under various environmental conditions demonstrated consistent sensor
accuracy, effective pump control, and significant water conservation. The system, developed at an approximate cost of
₹2,970, proved suitable for small to medium-scale farms, especially in rural areas. Its successful operation confirms the
potential of IoT in promoting sustainable farming, optimizing resource utilization, and improving overall crop management,
establishing a scalable foundation for future smart agriculture innovations.
Keywords :
Smart Irrigation, IoT, Automation, Soil Moisture Sensors, Smart Farming, Real-Time Data Analysis.