Hydrotech-integrated solar-powered iot automation for sustainable and precision irrigation using dht11 and esp8266 wi-fi module

Russel John Paladar; Denniel Jush Alinghawa; Joshua Estorque; John Lou Canunayon; Julian Kezia Pakig

doi:10.55529/ijrise.51.135.149

Authors

Russel John Paladar Association of Science and Mathematics Coaches of the Philippines Philippine Association of Teachers and Educational Leaders Philippine Institute of 21st Century Educators Inc., Philippine.
Denniel Jush Alinghawa Association of Science and Mathematics Coaches of the Philippines Philippine Association of Teachers and Educational Leaders Philippine Institute of 21st Century Educators Inc., Philippine.
Joshua Estorque Association of Science and Mathematics Coaches of the Philippines Philippine Association of Teachers and Educational Leaders Philippine Institute of 21st Century Educators Inc., Philippine.
John Lou Canunayon Association of Science and Mathematics Coaches of the Philippines Philippine Association of Teachers and Educational Leaders Philippine Institute of 21st Century Educators Inc., Philippine.
Julian Kezia Pakig Association of Science and Mathematics Coaches of the Philippines Philippine Association of Teachers and Educational Leaders Philippine Institute of 21st Century Educators Inc., Philippine.

Keywords:

IoT-Based Irrigation, Smart Agriculture, Solar Power, Sensor Accuracy, Automation, Precision Farming

Abstract

This study focused on the design, development, and system testing of a solar-powered IoT-based irrigation system to enhance water-use efficiency and automation in agriculture. The system incorporated Arduino Uno, soil moisture sensors, a DHT11 temperature and humidity sensor, an ESP8266 Wi-Fi module, a relay module, a water pump, an LCD display, and a solar panel for sustainable energy use. Optimized sensor placements ensured accurate monitoring of soil moisture, temperature, and humidity, allowing precise irrigation management. The solar energy storage system was tested for its capacity to sustain irrigation operations under varying environmental conditions.

System testing and calibration were conducted to evaluate the prototype’s accuracy in real-time data collection, response time, and automation efficiency. Results showed an average soil moisture detection accuracy of 97.8%, temperature accuracy of 98.3%, humidity accuracy of 96.7%, and real-time data transmission efficiency of 96.5%. The system effectively automated irrigation processes based on environmental conditions, ensuring optimized water distribution. Findings highlight the potential of IoT-integrated, solar-powered irrigation systems in promoting sustainable agriculture through efficient resource utilization and energy conservation.

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