Design and Development of Smart Polyhouse Farming System

Authors

  • Ramanathan V. Department of Electronics and Communication Engineering, Amrita College of Engineering & Technology, Anna University, Chennai, Tamil Nadu, India Author
  • Loga Priya M. J. Department of Electronics and Communication Engineering, Amrita College of Engineering & Technology, Anna University, Chennai, Tamil Nadu, India Author
  • Sanjai I. R. Department of Electronics and Communication Engineering, Amrita College of Engineering & Technology, Anna University, Chennai, Tamil Nadu, India Author
  • Rishi Akash P. L. Department of Electronics and Communication Engineering, Amrita College of Engineering & Technology, Anna University, Chennai, Tamil Nadu, India Author
  • Nitheesh Dev N. S. Department of Electronics and Communication Engineering, Amrita College of Engineering & Technology, Anna University, Chennai, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/IJSRST251256

Keywords:

Smart Farming, IoT, Artificial Intelligence, Polyhouse Automation, Environmental Monitoring, ESP32, Predictive Analytics

Abstract

This paper presents the design and implementation of a smart polyhouse farming system integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to automate the monitoring and control of environmental conditions for optimal plant growth. The system uses the ESP32 microcontroller with sensors (DHT11, gas, soil moisture) and actuators (humidifier, water pump) to regulate temperature, humidity, soil moisture, and gas concentrations. Real-time data is transmitted to a mobile application and analyzed by AI algorithms for predictive control and resource optimization.

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References

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Published

03-07-2025

Issue

Vol. 12 No. 4 (2025): July-August

Section

Research Articles

License

Copyright (c) 2025 International Journal of Scientific Research in Science and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

https://creativecommons.org/licenses/by/4.0

How to Cite

Design and Development of Smart Polyhouse Farming System. (2025). International Journal of Scientific Research in Science and Technology, 12(4), 71-77. https://doi.org/10.32628/IJSRST251256