Smart Home Irrigation Powered by Solar Energy: A Wi-Fi-Based Automated Drip System for Sustainable Household Gardening

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Efficient irrigation is fundamental to sustainable home gardening, particularly as urban households seek practical ways to produce fresh food while conserving water and reducing manual labor. Traditional watering methods often rely on fixed schedules or visual judgment, resulting in inconsistent soil moisture, unnecessary water consumption, and increased maintenance effort. The rapid development of Internet of Things (IoT) technologies has created new opportunities for intelligent irrigation systems capable of monitoring environmental conditions and automating water delivery. In this study, the authors developed and evaluated a solar-powered, Wi-Fi-based automated drip irrigation system equipped with real-time soil moisture sensing, pH monitoring, and mobile application control. The research demonstrates how renewable energy, embedded systems, wireless communication, and precision irrigation can be integrated into a practical solution for small-scale home gardens. Through prototype implementation and field evaluation, the study provides valuable insights into improving irrigation efficiency, enhancing user convenience, and promoting sustainable household food production.

Bibliographic Information

Item Information
Article Title Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing
Authors Dominic Olango Cagadas and Cran Leigh Mae Adis Salamanca
Journal Innovation in Engineering
Volume & Issue Volume 3, Issue 2
Publication Year 2026
Pages 79–93
DOI https://doi.org/10.58712/ie.v3i2.46
Publisher Research and Literature Society
ISSN 3047-5473
License Creative Commons Attribution 4.0 International (CC BY 4.0)
Keywords automated drip system; ESP32; smart irrigation; soil moisture sensing; solar-powered system

1. Research Background

  • Home gardening is becoming increasingly important for household food security. Urbanization, population growth, and changing food systems have encouraged more households to cultivate vegetables and herbs at home. Small-scale gardens can improve dietary quality, strengthen local food resilience, and promote sustainable resource utilization.
  • Manual irrigation remains one of the greatest challenges in home gardening. Most household gardens still depend on manual watering based on routine schedules or visual observation instead of actual soil conditions. This practice frequently results in overwatering, underwatering, inconsistent plant growth, unnecessary labor, and inefficient water consumption.
  • Recent advances in IoT technologies enable more intelligent irrigation. Smart irrigation systems equipped with sensors, microcontrollers, and wireless communication can continuously monitor soil conditions and automatically supply water only when necessary. Such systems improve irrigation precision while reducing human intervention.
  • Soil moisture is a critical parameter for healthy plant development. Maintaining moisture within appropriate ranges supports nutrient uptake, prevents water stress, and enhances plant productivity. Because different crops require different moisture conditions, continuous monitoring becomes essential for adaptive irrigation control.
  • Despite technological advances, adoption among household gardeners remains limited. Existing commercial smart irrigation systems are often considered expensive, technically complex, or difficult for non-specialist users to install and operate. These barriers reduce the practical adoption of precision irrigation technologies in home environments.
  • Renewable energy provides additional opportunities for sustainable irrigation. Integrating solar photovoltaic power with automated irrigation systems can reduce dependence on conventional electricity while enabling reliable off-grid operation. This combination improves both environmental sustainability and operational efficiency.
  • The study addresses a practical engineering need. The research focuses on developing a compact, solar-powered, Wi-Fi-enabled automated drip irrigation system capable of integrating real-time soil moisture sensing, pH monitoring, tank-level detection, drainage monitoring, and Android-based remote control into a single prototype suitable for household gardening.
  • The proposed system emphasizes sustainability and user accessibility. Rather than introducing automation for large-scale agriculture, the study demonstrates how affordable embedded electronics, renewable energy, and mobile connectivity can be combined into an intelligent irrigation solution specifically designed for small home gardens.

2. Research Objective

  • To design and develop a solar-powered, Wi-Fi-based automated drip irrigation system for small-scale home gardening.
  • To integrate real-time soil moisture sensing, water pH monitoring, water tank level detection, drainage monitoring, and Android-based mobile control into a single smart irrigation platform.
  • To evaluate the functionality, operational performance, and usability of the developed irrigation prototype under actual outdoor operating conditions.
  • To determine whether the automated irrigation system can maintain appropriate soil moisture levels by supplying water only when predefined moisture thresholds are reached.
  • To assess the effectiveness of combining renewable solar energy with IoT-based irrigation technology for improving water-use efficiency while reducing manual labor in household gardening.

3. Why This Research Matters

  • Supports sustainable household food production. Reliable irrigation improves the productivity of home gardens while helping households produce fresh vegetables more consistently.
  • Improves water-use efficiency. Threshold-based irrigation minimizes unnecessary watering by activating pumps only when soil moisture falls below predefined levels.
  • Reduces manual labor. Automation allows users to monitor and control irrigation remotely through a mobile application instead of relying on continuous manual watering.
  • Promotes renewable energy adoption. Operating the irrigation system using solar energy demonstrates a practical application of clean energy for small-scale agricultural technology.
  • Demonstrates practical IoT implementation. The research integrates embedded systems, wireless communication, sensors, renewable energy, and mobile applications into a complete engineering solution rather than evaluating each technology separately.
  • Provides an affordable prototype for home gardeners. The developed system shows that intelligent irrigation can be implemented using widely available electronic components while maintaining high operational performance.
  • Contributes to precision agriculture at the household scale. Although designed for home gardens, the engineering principles demonstrated in the study may serve as a foundation for future smart irrigation systems in broader agricultural applications.

4. Research Methodology

  • Research Design

    The study adopted an engineering research and development approach consisting of seven sequential phases: preliminary survey and problem identification, system design, prototype development, implementation, data collection, performance evaluation, and final system validation. This structured methodology ensured that the proposed irrigation system addressed practical household gardening challenges before being tested under real operating conditions.

  • Problem Identification

    The preliminary investigation focused on common irrigation problems encountered by home gardeners, including manual watering, inconsistent irrigation schedules, overwatering, underwatering, inefficient water use, and limited time available for routine plant maintenance. These findings were used to define the functional requirements of the proposed smart irrigation system.

  • System Design

    The researchers designed an integrated smart irrigation platform consisting of four independent planting plots supplied by a centralized water tank. The system combined renewable solar energy, automated drip irrigation, embedded control, wireless communication, and mobile monitoring into a compact engineering prototype. The design incorporated real-time soil moisture sensing, pH monitoring, water tank level detection, drainage monitoring, and remote control through an Android application.

  • Hardware Architecture

    The prototype was built around an ESP32 microcontroller serving as the central processing and communication unit. Major hardware components included capacitive soil moisture sensors, a liquid pH sensor, float sensors for water tank and drainage monitoring, four solenoid valves, four DC pumps, relay modules, a DC-DC buck converter, a 150 W solar photovoltaic panel, a solar charge controller, and a 12.8 V lithium battery. Together, these components enabled autonomous irrigation while maintaining reliable off-grid operation.

  • Renewable Energy Integration

    Unlike conventional irrigation controllers that depend on grid electricity, the developed system was powered entirely by solar energy. Electrical energy generated by the photovoltaic panel was stored in a lithium battery and regulated through a charge controller and voltage converter to provide continuous power for sensing, communication, and irrigation activities.

  • Control Strategy

    A closed-loop control algorithm continuously monitored soil moisture values from four independent planting zones. Whenever soil moisture in an individual plot dropped below its programmed threshold, the corresponding pump and solenoid valve were activated automatically. Once adequate moisture was restored, irrigation stopped without requiring user intervention. This demand-driven strategy minimized unnecessary water application while maintaining suitable moisture conditions for different crops.

  • Mobile Monitoring System

    The ESP32 communicated wirelessly with an Android-based mobile application that displayed real-time information, including soil moisture percentage, irrigation pump status, water pH, tank level, and drainage level. Users could remotely monitor system operation while observing irrigation events as they occurred.

  • Prototype Implementation

    Following fabrication, the completed irrigation system was installed outdoors under actual environmental conditions with sufficient solar exposure. Four planting plots containing different vegetable crops were monitored continuously throughout a 15-day operational period to evaluate irrigation performance, structural stability, renewable energy utilization, and multi-zone control capability.

  • Performance Evaluation

    System performance was evaluated from three complementary perspectives: functionality, performance, and usability. Functional testing verified accurate sensor operation and irrigation control. Performance evaluation examined response time, operational stability, multi-zone processing capability, and solar energy sustainability. Usability assessment measured the effectiveness of the Android application in providing intuitive monitoring and system interaction.

  • Expert Validation

    Twenty evaluators representing faculty members, information technology specialists, agriculturists, and farmers assessed the developed prototype using structured evaluation instruments. Mean scores were calculated to determine the overall acceptability of the system in terms of functionality, operational performance, and usability.

5. Key Findings

The Automated Irrigation System Successfully Performed Threshold-Based Watering

The developed irrigation system consistently supplied water only when soil moisture fell below predetermined threshold values. Throughout the monitoring period, irrigation pumps were activated only when required, demonstrating that the control algorithm effectively prevented unnecessary watering while maintaining appropriate soil moisture conditions for each planting zone.

This demand-based irrigation strategy represents a significant improvement over conventional timer-based watering because irrigation decisions were based on actual soil conditions rather than fixed schedules.

Multi-Zone Irrigation Operated Reliably Without Cross-Interference

The prototype successfully managed four independent planting plots simultaneously. Each irrigation zone responded independently to its own soil moisture measurements while remaining under centralized control by the ESP32 microcontroller. No switching delays, communication failures, or cross-channel interference were observed during continuous operation.

The multi-zone configuration demonstrates that the developed system can accommodate different crop moisture requirements without compromising operational reliability.

Solar Energy Provided Stable Off-Grid Operation

The renewable energy subsystem maintained continuous operation throughout the outdoor testing period. Battery charging remained stable, no power interruptions were recorded, and the photovoltaic system successfully supplied sufficient energy for sensor monitoring, wireless communication, and irrigation control.

These findings confirm that integrating solar power with IoT-based irrigation can provide a practical off-grid solution for household gardening applications.

Real-Time Monitoring Improved Operational Transparency

The Android application successfully displayed live information including soil moisture percentage, irrigation pump activity, water pH, water tank level, and drainage status. Data transmission remained stable during field implementation, allowing users to observe irrigation behavior remotely and verify system performance without inspecting the garden physically.

The Irrigation System Maintained Stable Soil Moisture

Comparative monitoring over multiple observation days showed only small fluctuations in soil moisture values across the four planting plots. Moisture variation remained within a narrow range, indicating that the automated irrigation algorithm successfully maintained relatively stable growing conditions throughout the implementation period.

The absence of excessive drying, flooding, or unstable irrigation cycles further demonstrated the effectiveness of the closed-loop control strategy.

The Prototype Demonstrated Strong Structural and Operational Reliability

Throughout fifteen days of outdoor deployment, the structural framework, hydraulic components, electrical wiring, pumps, valves, and sensors remained fully operational. No structural deformation, hydraulic leakage, electrical malfunction, communication failure, or unexpected system shutdown was reported during testing.

The sustained operational stability suggests that the developed prototype is suitable for prolonged household gardening applications under outdoor environmental conditions.

Expert Evaluation Produced Excellent Overall Ratings

The developed irrigation system received consistently high evaluation scores from faculty members, IT experts, agriculturists, and farmers. Functionality achieved a mean score of 4.81, performance obtained 4.74, and usability received the highest score of 4.89. The overall mean rating of 4.81 indicates excellent acceptance across all evaluation criteria.

These assessment results demonstrate that the prototype not only functioned effectively from an engineering perspective but was also considered practical and user-friendly by individuals representing both technical and agricultural disciplines.

6. Scientific Contribution

  • Develops an integrated smart irrigation architecture that combines renewable energy, IoT communication, embedded control, mobile monitoring, and precision drip irrigation within a single engineering platform designed specifically for household gardening.
  • Demonstrates successful implementation of closed-loop irrigation control using real-time soil moisture sensing to automate irrigation decisions instead of relying on conventional time-based watering schedules.
  • Introduces a practical multi-zone irrigation framework capable of independently managing four planting plots while maintaining centralized monitoring and control through a single ESP32 microcontroller.
  • Provides experimental evidence supporting renewable-energy-powered irrigation by validating continuous off-grid operation using a solar photovoltaic system integrated with battery storage and intelligent power management.
  • Expands the application of IoT technology in precision agriculture. The research demonstrates how wireless communication, embedded sensors, and Android-based interfaces can improve irrigation efficiency at the household scale.
  • Contributes an engineering prototype suitable for future development. The modular system architecture offers a practical foundation for extending smart irrigation research toward larger agricultural environments, additional sensing capabilities, and more advanced intelligent control algorithms.

7. Industrial Implications

  • Supports the development of affordable smart irrigation products. Manufacturers can adapt the prototype into commercially viable irrigation systems for residential gardens and urban agriculture.
  • Promotes water conservation technologies. Threshold-based irrigation reduces unnecessary water consumption while maintaining healthy plant growth, supporting sustainable water management practices.
  • Encourages renewable energy utilization in agriculture. The successful implementation of solar-powered irrigation demonstrates the feasibility of reducing dependence on conventional electrical infrastructure.
  • Creates opportunities for IoT-based agricultural services. Mobile monitoring and wireless communication enable remote management, predictive maintenance, and future cloud-based irrigation management systems.
  • Supports urban farming initiatives. Compact automated irrigation systems can facilitate vegetable production in residential areas where labor availability and water efficiency are major concerns.
  • Provides engineering guidance for precision irrigation design. The integration of embedded electronics, renewable energy, wireless communication, and automated control offers a practical reference for engineers developing future agricultural automation technologies.
  • Encourages interdisciplinary innovation. The research illustrates how electronics engineering, agricultural engineering, renewable energy, and software development can be integrated to address practical sustainability challenges in modern food production.

8. Research Limitations

  • The study was conducted using a single prototype deployed in one outdoor home garden environment. Although the prototype demonstrated reliable performance throughout the evaluation period, the findings are based on one implementation scenario. Additional testing under different climatic conditions, soil types, and geographical locations would provide broader evidence of system adaptability.
  • The operational evaluation covered a relatively short monitoring period. System performance was assessed during a continuous 15-day outdoor implementation. While this period was sufficient to evaluate functionality and operational stability, longer-term deployment would be necessary to investigate seasonal performance, component durability, and maintenance requirements.
  • The prototype was designed for four irrigation zones. The study successfully demonstrated independent multi-zone irrigation control; however, scalability to larger agricultural fields or commercial farming environments was beyond the scope of the present investigation.
  • The irrigation strategy relied primarily on soil moisture thresholds. Environmental variables such as rainfall prediction, ambient temperature, solar radiation, wind speed, evapotranspiration, and weather forecasting were not incorporated into the irrigation decision-making process.
  • The evaluation focused on engineering system performance rather than agricultural productivity. Although plant conditions remained stable during implementation, the study did not quantitatively compare crop yield, biomass production, water productivity, or long-term agronomic performance against conventional irrigation methods.
  • The mobile application emphasized monitoring and operational control. Advanced intelligent functions such as predictive irrigation scheduling, cloud-based analytics, machine learning, historical trend analysis, or automatic crop recommendation were not included in the current system.
  • Economic analysis was outside the scope of the research. The study demonstrated technical feasibility and operational effectiveness but did not perform lifecycle cost analysis, return-on-investment evaluation, maintenance cost estimation, or economic comparison with existing irrigation technologies.

9. Future Research Opportunities

  • Evaluate the developed irrigation system over longer operational periods to investigate long-term reliability, maintenance requirements, and component durability under varying environmental conditions.
  • Expand the prototype to support larger numbers of irrigation zones for community gardens, greenhouses, commercial horticulture, and precision agriculture applications.
  • Integrate additional environmental sensors such as air temperature, relative humidity, solar radiation, rainfall detection, and weather forecasting to enable more adaptive irrigation decisions.
  • Develop cloud-connected IoT architectures that enable remote data storage, historical performance analysis, predictive maintenance, and centralized monitoring across multiple irrigation installations.
  • Incorporate artificial intelligence and machine learning algorithms to optimize irrigation scheduling based on historical sensor data, crop characteristics, weather forecasts, and plant growth models.
  • Investigate the effectiveness of the irrigation system for a wider variety of crops with different soil moisture requirements and cultivation practices.
  • Conduct comparative studies between automated threshold-based irrigation, timer-controlled irrigation, and manual irrigation to quantify improvements in water-use efficiency, crop productivity, and labor reduction.
  • Evaluate the economic feasibility of commercial implementation by analyzing installation costs, operating expenses, energy savings, maintenance requirements, and return on investment.
  • Explore integration with smart agriculture platforms capable of combining irrigation management with fertilizer application, environmental monitoring, and crop health assessment.
  • Develop decision-support dashboards that utilize real-time analytics and mobile notifications to assist users in monitoring irrigation performance and system health more effectively.

10. Potential for Public Policy Citation (Overton)

This study possesses considerable potential for citation in public policy documents because it addresses practical challenges associated with sustainable water management, renewable energy utilization, and household food production. The proposed engineering solution aligns with increasing governmental interest in promoting climate-resilient agriculture, efficient resource utilization, and digital transformation within agricultural systems.

The integration of solar-powered energy with IoT-enabled irrigation provides a practical example of how renewable energy technologies can support sustainable agricultural practices at the household level. Government agencies responsible for agriculture, rural development, environmental management, and renewable energy promotion may find the system relevant when developing policies encouraging efficient irrigation technologies and water conservation initiatives.

In addition, the research contributes to broader discussions concerning smart agriculture and digital farming. The successful implementation of sensor-based irrigation, wireless monitoring, and automated decision-making demonstrates how low-cost engineering innovations can support resilient food systems while reducing labor requirements and unnecessary water consumption.

Although the study focuses on a prototype developed for home gardening rather than national agricultural infrastructure, its engineering principles provide a useful reference for pilot programs, community gardening initiatives, urban agriculture strategies, and sustainable development projects seeking to promote renewable-energy-powered precision irrigation technologies.

11. Who Should Read This Paper?

  • Researchers in agricultural engineering.
  • Researchers working in Internet of Things (IoT) applications.
  • Renewable energy engineers.
  • Electronics and embedded systems engineers.
  • Agricultural automation researchers.
  • Smart farming technology developers.
  • Urban agriculture practitioners.
  • Home gardening enthusiasts interested in automation.
  • Manufacturers of precision irrigation equipment.
  • Government agencies promoting sustainable agriculture.
  • Graduate students in engineering and agricultural technology.
  • Professionals involved in precision agriculture and environmental sustainability.

12. Final Thoughts

This study presents a comprehensive engineering solution that successfully integrates renewable energy, embedded systems, wireless communication, and precision irrigation into a practical platform for household gardening. Rather than treating irrigation as a simple automation task, the researchers developed an intelligent system capable of continuously monitoring soil conditions, making autonomous irrigation decisions, and providing real-time operational information through a mobile application.

One of the most significant strengths of the research lies in its holistic system integration. The combination of solar photovoltaic power, ESP32-based control, multi-zone drip irrigation, soil moisture sensing, pH monitoring, water level detection, and Android-based monitoring demonstrates how multiple engineering disciplines can be combined to address a common agricultural challenge. The prototype remained operational throughout the outdoor implementation period without major interruptions, indicating a robust system architecture suitable for practical deployment.

The evaluation results further strengthen the contribution of the research. High ratings for functionality, performance, and usability indicate that the system performs effectively not only from a technical perspective but also from the viewpoint of potential end users. The successful implementation of threshold-based irrigation confirms that intelligent automation can significantly reduce unnecessary water application while maintaining appropriate soil moisture conditions for healthy plant growth.

Beyond its immediate engineering achievements, the study highlights the growing role of IoT technologies and renewable energy in supporting sustainable agriculture. Although developed for small-scale home gardening, the engineering concepts demonstrated in this prototype provide a valuable foundation for future research involving larger irrigation systems, intelligent agricultural decision-support platforms, and data-driven precision farming technologies.

Overall, this article represents a well-executed engineering development study that combines practical innovation with systematic evaluation. It contributes meaningful evidence supporting the adoption of affordable, solar-powered, sensor-based irrigation technologies capable of improving water-use efficiency, reducing manual labor, and advancing sustainable food production for modern households.

13. Suggested Citations

UNP–Teknomekanik Style

Cagadas DO, Salamanca CLMA. Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing. Innovation in Engineering. 2026;3(2):79–93. https://doi.org/10.58712/ie.v3i2.46

APA (7th Edition)

Cagadas, D. O., & Salamanca, C. L. M. A. (2026). Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing. Innovation in Engineering, 3(2), 79–93. https://doi.org/10.58712/ie.v3i2.46

IEEE Style

D. O. Cagadas and C. L. M. A. Salamanca, "Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing," Innovation in Engineering, vol. 3, no. 2, pp. 79–93, 2026, doi: 10.58712/ie.v3i2.46.

Harvard Style

Cagadas, D.O. & Salamanca, C.L.M.A., 2026. Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing. Innovation in Engineering, 3(2), pp.79–93. Available at: https://doi.org/10.58712/ie.v3i2.46.

Vancouver Style

Cagadas DO, Salamanca CLMA. Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing. Innovation in Engineering. 2026;3(2):79–93. doi:10.58712/ie.v3i2.46.

Chicago (Author–Date)

Cagadas, Dominic Olango, and Cran Leigh Mae Adis Salamanca. 2026. "Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing." Innovation in Engineering 3 (2): 79–93. https://doi.org/10.58712/ie.v3i2.46.

MLA (9th Edition)

Cagadas, Dominic Olango, and Cran Leigh Mae Adis Salamanca. "Smart home irrigation: A solar-powered Wi-Fi-based automated drip system with real-time soil moisture sensing." Innovation in Engineering, vol. 3, no. 2, 2026, pp. 79–93. Crossref, https://doi.org/10.58712/ie.v3i2.46.

14. Editorial Note

Editorial Assessment. This article presents a thoughtfully engineered smart irrigation system that combines renewable energy, Internet of Things (IoT) technologies, embedded control, and precision drip irrigation into a single integrated platform for household gardening. The study addresses a practical engineering challenge through the development of a functional prototype supported by systematic field implementation and quantitative performance evaluation.

One notable strength of the research is its successful integration of multiple engineering subsystems, including solar photovoltaic power generation, ESP32-based embedded control, capacitive soil moisture sensing, pH monitoring, multi-zone irrigation, and Android-based mobile monitoring. Rather than evaluating these technologies independently, the authors demonstrate how they can operate collectively to create an intelligent irrigation solution capable of improving water-use efficiency while reducing manual intervention.

The methodology is clearly structured and follows a logical engineering development process encompassing system design, prototype fabrication, implementation, monitoring, and expert evaluation. Continuous outdoor testing and independent assessment by specialists from engineering, agriculture, and information technology strengthen the credibility of the reported findings.

From an engineering perspective, the study contributes practical evidence supporting the application of renewable energy and IoT technologies within small-scale precision agriculture. Although the prototype is intended for household gardening, the system architecture provides a valuable reference for future developments involving larger irrigation infrastructures, smart farming platforms, and intelligent agricultural automation systems.

Overall, this article represents a meaningful contribution to applied engineering research by demonstrating how interdisciplinary technologies can be integrated into a reliable, sustainable, and user-friendly irrigation platform that addresses contemporary challenges in household food production and efficient water management.

15. SEO Meta Description

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16. SEO Keywords

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17. Recommended URL Slug

smart-home-irrigation-solar-powered-wifi-automated-drip-system-review

Engineering Research Insights

Engineering Research Insights is a scholarly article review series that highlights recent advances in engineering research published in Innovation in Engineering. Each review provides an objective overview of the study's background, methodology, principal findings, scientific contributions, industrial relevance, research limitations, future opportunities, and practical implications. The purpose of this series is to improve the accessibility of high-quality engineering research for academics, researchers, students, industry practitioners, and policy makers while promoting broader dissemination of innovative engineering solutions.

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