Preeti et al. (2025) Smart Solar-Irrigo System

Identification

• Journal: International Journal of Advanced Research in Science Communication and Technology
• Year: 2025
• Date: 2025-11-13
• Authors: Navale Preeti, Patil Shweta, Suryawanshi Vaishnavi, S. K. Godase
• DOI: 10.48175/ijarsct-29449

Research Groups

Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, India.

Short Summary

This paper presents an Advanced Solar Tracking and Automatic Sprinkler Irrigation System that integrates single-axis solar tracking, real-time environmental sensing, and mobile communication to optimize solar energy generation and water usage in agriculture. The system demonstrates improved power generation (25-35% over static panels) and efficient water management by autonomously adjusting irrigation based on sensor data.

Objective

• To design and implement an Advanced Solar Tracking and Automatic Sprinkler Irrigation System that optimizes solar power generation and water usage through real-time environmental sensing and mobile communication for sustainable agriculture.

Study Configuration

• Spatial Scale: Scalable for various farm sizes, from small gardens to commercial holdings.
• Temporal Scale: Real-time monitoring and control, with solar panel orientation optimized throughout the day.

Methodology and Data

• Models used: Arduino UNO microcontroller for central control, LDR+servo modules for single-axis solar tracking, and a GSM module for mobile communication. The control logic is rule/threshold-based, driven by sensor inputs.
• Data sources: Light Dependent Resistors (LDRs) for sunlight intensity, DHT22 sensors for temperature and humidity, capacitive soil moisture sensors for soil moisture levels, and an ultrasonic sensor for water tank level monitoring.

Main Results

• The single-axis solar tracking system significantly increases power generation, improving energy capture by 25% to 35% compared to static solar panels.
• The automated irrigation system, driven by high-precision temperature and soil moisture sensors, autonomously regulates sprinkler water distribution, minimizing water waste and maintaining optimal soil moisture levels.
• A GSM-based communication module provides farmers with real-time SMS alerts regarding soil conditions, irrigation events, and solar power efficiency, enabling remote monitoring and decision-making.
• The system is designed to be affordable, scalable, and flexible, making it suitable for both small and large farms, thereby supporting smart farming and reducing energy and water consumption.

Contributions

• Integration of a single-axis solar tracking mechanism with an automated, sensor-based sprinkler irrigation system for enhanced energy and water efficiency.
• Implementation of real-time environmental monitoring (soil moisture, temperature, humidity, water level) combined with mobile (GSM) communication for remote alerts and control.
• Demonstrates a quantifiable improvement in solar energy generation (25-35%) over static panels for agricultural applications.
• Offers a cost-effective, scalable, and flexible solution for sustainable agro-tech, addressing critical issues of water scarcity, energy demands, and labor intensity in agriculture.

Funding

No specific funding projects, programs, or reference codes were mentioned in the paper.

Citation

@article{Preeti2025Smart,
  author = {Preeti, Navale and Shweta, Patil and Vaishnavi, Suryawanshi and Godase, S. K.},
  title = {Smart Solar-Irrigo System},
  journal = {International Journal of Advanced Research in Science Communication and Technology},
  year = {2025},
  doi = {10.48175/ijarsct-29449},
  url = {https://doi.org/10.48175/ijarsct-29449}
}