Solar Grow Net: Autonomous Greenhouse Monitoring and Control System

Year : 2026 | Volume : 14 | Issue : 01 | Page : 25 32
By

R.G. Ghodake,

Shravani P. Chavan,

Sakshi M. Bhaganagare,

  1. Assistant Professor, Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India

Abstract

The increasing demand for sustainable and efficient agricultural practices has led to the adoption of smart farming technologies that enable real-time monitoring and automated control of crop-growing environments. Traditional agricultural systems largely depend on manual observation and experience-based decision-making, which often results in inefficient resource utilization and inconsistent crop yield. To address these challenges, this work presents the design and implementation of an IoT-enabled solar grow net system for intelligent monitoring and control of agricultural parameters. The proposed system integrates environmental sensors to continuously monitor key parameters such as temperature, humidity, soil moisture, and light intensity within a controlled cultivation environment. These sensor readings are processed using a microcontroller-based control unit, which automatically regulates irrigation, ventilation, and shading mechanisms based on predefined threshold values. Solar energy is utilized as the primary power source, making the system energy-efficient and suitable for deployment in remote and rural agricultural regions with limited grid access. Experimental results demonstrate that the system effectively maintains optimal environmental conditions required for plant growth while minimizing water and energy consumption. Real-time data visualization and remote access enable farmers to monitor crop conditions and take timely corrective actions, thereby improving productivity and reducing manual intervention. The proposed solar grow net system offers a cost-effective, scalable, and sustainable solution for modern agriculture and contributes toward precision farming practices that enhance crop yield and resource efficiency.

Keywords: IoT (Internet of Things), greenhouse monitoring, solar-powered systems, environmental sensors, time monitoring, microcontroller, ThingSpeak

[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]

How to cite this article: R.G. Ghodake, Shravani P. Chavan, Sakshi M. Bhaganagare. Solar Grow Net: Autonomous Greenhouse Monitoring and Control System. Research & Reviews: A Journal of Embedded System & Applications. 2025; 14(01):25-32.
How to cite this URL: R.G. Ghodake, Shravani P. Chavan, Sakshi M. Bhaganagare. Solar Grow Net: Autonomous Greenhouse Monitoring and Control System. Research & Reviews: A Journal of Embedded System & Applications. 2025; 14(01):25-32. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=230710

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Regular Issue Subscription Review Article
Volume 14
Issue 01
Received 17/05/2025
Accepted 22/06/2025
Published 07/11/2025
Publication Time 174 Days

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