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.

Downloads

Download data is not yet available.

References

Awan, M.A., Khan, M.M. (2018) ‘Cloud-based precision agriculture monitoring system using wireless sensor networks’, Computers and Electronics in Agriculture, Vol. 152, No.3, pp. 226–237.

Deshmukh, K., Patil, A.P. (2020) ‘IoT-based smart polyhouse monitoring system’, International Journal of Engineering Research & Technology (IJERT), Vol. 9, No. 5, pp. 624–628.

Jadhav, H., Mohod, D. (2018) ‘Intelligent agriculture system using IoT’, International Journal of Computer Applications, Vol. 179, No. 47, pp. 1–5.

J.R.K. (2022) ‘IoT based polyhouse farming with controlled environment and monitoring’, International Journal of Engineering Research and Technology (IJERT), Vol. 11, No. 12, pp. 1–5.

Kumar, A., Kumar, A. (2020) ‘IoT based smart farming: An overview’, International Journal of Engineering and Technical Research (IJETR), Vol. 8, No. 1, pp. 25–30.

Kulkarni, V., Patil, S. (2018) ‘Smart farming using IoT’, International Journal of Computer Science and Mobile Computing, Vol. 7, No. 6, pp. 234–238.

Mahalakshmi, M.J., Ramesh, P. (2020) ‘Design and implementation of smart polyhouse using IoT and cloud computing’, International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 6, pp. 3316–3321.

Patel, N.D., Patel, K.H. (2018) ‘Automated greenhouse system using IoT with Blynk app’, International Journal of Computer Applications, Vol. 182, No. 3, pp. 1–5. DOI: https://doi.org/10.5120/ijca2018917139

Raj, R.S., Aruna, S. (2020) ‘An intelligent IoT-based system design for precision agriculture’, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 9, No. 3, pp. 1254–1260.

Shrivastava, P., Singh, R. (2020) ‘An AI-based decision support system for smart agriculture’, Procedia Computer Science, Vol. 167, pp. 1058–1067.

Downloads

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