Development of an Automated Irrigation System for Enhancing Water-Use Efficiency

This paper presents the development and calibration of an automated irrigation system designed using Arduino Uno, a micro pump, soil sensors, a relay module, and programmed in C++. The system aims to enhance irrigation efficiency by delivering water to crops based on real-time soil moisture levels. The Arduino Uno serves as the central control unit, continuously receiving data from the sensors embedded in the soil. When the moisture level falls below a predefined threshold, the Arduino activates the micro pump through the relay module to initiate irrigation. The system was programmed using C++ to ensure precise sensor readings, responsive control actions, and reliable operation. Calibration of the sensors and pump operation was conducted under controlled conditions to ensure accurate detection of soil moisture and appropriate water delivery. The developed system, powered by a solar-rechargeable battery setup, successfully automated irrigation based on real-time soil and environmental data, reducing water usage by an estimated 30–40% compared to manual irrigation methods. Key components included an Arduino Uno microcontroller, DHT22 sensor, 4-in-1 soil sensor (temperature, moisture, pH, EC), and a micro pump controlled via a relay module. Sensor calibration ensured high accuracy, with moisture and pH readings showing deviations within ±3% and ±0.2 pH units, respectively. The system maintained operational stability for over 48 hours without sunlight and responded to soil moisture changes within 2–3 seconds, triggering timely irrigation. Results demonstrate the system's capability to reduce water waste and support optimal soil moisture maintenance. This low-cost, scalable solution is suitable for small- to medium-scale farming applications and contributes to sustainable water resource management in agriculture.

Authors

Publication Details

Journal
Advances in Research
Published
2025-04-22
DOI
https://doi.org/10.9734/air/2025/v26i21317
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of an Automated Irrigation System for Enhancing Water-Use Efficiency

Opeyemi Pamela Babafemi, Jelili Aremu Oyedokun, Mutiat Olayaki-Luqman, Olusayo Adekunle Ajeigbe et al.
Advances in Research
Irrigation Practices and Water Management
article

Development of an Automated Irrigation System for Enhancing Water-Use Efficiency

Opeyemi Pamela Babafemi, Jelili Aremu Oyedokun, Mutiat Olayaki-Luqman, Olusayo Adekunle Ajeigbe, Olusegun William Adelere
article en

Abstract

This paper presents the development and calibration of an automated irrigation system designed using Arduino Uno, a micro pump, soil sensors, a relay module, and programmed in C++. The system aims to enhance irrigation efficiency by delivering water to crops based on real-time soil moisture levels. The Arduino Uno serves as the central control unit, continuously receiving data from the sensors embedded in the soil. When the moisture level falls below a predefined threshold, the Arduino activates the micro pump through the relay module to initiate irrigation. The system was programmed using C++ to ensure precise sensor readings, responsive control actions, and reliable operation. Calibration of the sensors and pump operation was conducted under controlled conditions to ensure accurate detection of soil moisture and appropriate water delivery. The developed system, powered by a solar-rechargeable battery setup, successfully automated irrigation based on real-time soil and environmental data, reducing water usage by an estimated 30–40% compared to manual irrigation methods. Key components included an Arduino Uno microcontroller, DHT22 sensor, 4-in-1 soil sensor (temperature, moisture, pH, EC), and a micro pump controlled via a relay module. Sensor calibration ensured high accuracy, with moisture and pH readings showing deviations within ±3% and ±0.2 pH units, respectively. The system maintained operational stability for over 48 hours without sunlight and responded to soil moisture changes within 2–3 seconds, triggering timely irrigation. Results demonstrate the system's capability to reduce water waste and support optimal soil moisture maintenance. This low-cost, scalable solution is suitable for small- to medium-scale farming applications and contributes to sustainable water resource management in agriculture.

Advances in ResearchVol. 26(2)
Openalex Percentile: Top 90%
Irrigation Practices and Water Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of an Automated Irrigation System for Enhancing Water-Use Efficiency — Opeyemi Pamela Babafemi, Jelili Aremu Oyedokun, et al. · Advances in Research (2025) | TGRS Research Map | TGRS