MRI
MRI India Journals Vol. 15 No. 1 (2026)

Smart Greenhouse 5.0: IoT, AI, Data Science for Sustainable Farming

Authors

  • S. O. Kulkarni Electronics & Telecommunication, Dr. J. J. Magdum College of Engineering, Jaysingpur
  • Riya Matade Electronics & Telecommunication, Dr. J. J. Magdum College of Engineering, Jaysingpur
  • Rutika Kurade Electronics & Telecommunication, Dr. J. J. Magdum College of Engineering, Jaysingpur

Keywords:

Optimization Control systems Energy efficiency Sustainable farming

Abstract

In this project, our team built a Smart Greenhouse 5.0 system to deal with the issues of high labor costs and water waste." Using an ESP32 microcontroller as the brain of the system, we connected sensors to track soil moisture, heat, and light levels in real-time. Rather than constant manual monitoring, our system automatically turns on water pumps and cooling fans whenever the sensors show they are needed. We also built a web dashboard on laptop so the greenhouse can be monitored from a phone laptop. By adding a layer of AI for data analysis, the system helps predict exactly what the plants need before they show signs of stress. Our results show that this project makes farming much more efficient, saves a huge amount of water, and make sure crops grow in the best possible conditions.

 

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Published

2026-05-23

How to Cite

Kulkarni, S. O., Matade, R., & Kurade, R. (2026). Smart Greenhouse 5.0: IoT, AI, Data Science for Sustainable Farming. International Journal on Advanced Electrical and Computer Engineering, 15(1), 84–87. Retrieved from https://journals.mriindia.com/index.php/ijaece/article/view/3134

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