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

Section

Research Articles