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Paper ID:IJSREM18609

IOT Based Agricultural Greenhouse Monitoring and Control System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM18609

Volume:

7 |

4 |

Apr 2023

Pages:

1--

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM18609

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GVK

G. Veeresh Kumar

Department of Electrical and Electronics Engineering

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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PGP

Parashuramana Goud P.

Department of Electrical and Electronics Engineering

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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KHK

K. Heena Kousar

Department of Electrical and Electronics Engineering

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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ACM

Aruna C. M

Department of Electrical and Electronics Engineering

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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Abstract

Greenhouse cultivation provides a controlled environment for crop production by regulating important parameters such as temperature, humidity, soil moisture, and light intensity. However, conventional greenhouse monitoring and control methods require continuous human supervision and may result in inefficient use of water, energy, and labor. This paper presents an Internet of Things (IoT)-based agricultural greenhouse monitoring and control system for automatic regulation of the greenhouse environment. The proposed system uses an ESP32 microcontroller interfaced with temperature and humidity, soil moisture, and light sensors. Based on predefined threshold conditions, the controller automatically operates a fan, water pump, and bulb through relay modules. An LCD provides local real-time information, while the Blynk IoT application enables remote monitoring and control through a smartphone. The system can operate in automatic and manual modes, allowing the greenhouse parameters to be monitored and controlled remotely. A prototype was developed and tested to demonstrate automated environmental regulation, reduced human intervention, and efficient greenhouse management.

KEYWORDS

internet of Things Smart Greenhouse ESP32 Soil Moisture Temperature Humidity LDR Blynk Automatic Control.

Cite This Article

G. Veeresh Kumar, Parashuramana Goud P., K. Heena Kousar, Aruna C. M, "IOT Based Agricultural Greenhouse Monitoring and Control System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, pp. 1--, Apr 2023. https://doi.org/10.55041/IJSREM18609

Full Article/Conclusion

An IoT-based agricultural greenhouse monitoring and control system has been developed to automate the monitoring and regulation of important greenhouse environmental parameters. The system integrates an ESP32 microcontroller with temperature and humidity, soil moisture, and light sensors to acquire environmental information. Based on predefined threshold conditions, a fan, water pump, and bulb are automatically controlled through relay modules. The integration of the Blynk IoT application provides remote access to greenhouse information and control functions through a smartphone. The developed prototype demonstrates that IoT-based automation can reduce manual intervention, improve monitoring, and provide a controlled environment for crop cultivation. The system therefore provides a practical approach for small-scale smart greenhouse applications and can be further expanded with additional sensors and intelligent agricultural functions.

References

[1] R. B. Naik, D. N. Naik et al., “Microcontroller Based Intelligent Greenhouse Environment Monitoring and Controlling System,” 2022. [2] Y. Liu et al., “IoT Based Greenhouse Monitoring and Control System,” 2022. [3] J. A. Aznar-Sánchez, J. F. Velasco-Muñoz, B. López-Felices, and I. M. Román-Sánchez, “An Analysis of Global Research Trends on Greenhouse Technology: Towards a Sustainable Agriculture,” International Journal of Environmental Research and Public Health, Jan. 2020. [4] S. D. Bhagwat, A. I. Hulloli, S. B. Patil, A. A. Kha, and A. S. Kamble, “Smart Greenhouse Using IoT and Cloud Computing,” International Research Journal of Engineering and Technology, vol. 5, no. 3, Mar. 2018. [5] Prof. D. O. Shrinath, P. Kamble, R. Mane, A. Kopla, and Prof. R. S. More, “IoT Based Smart Greenhouse Automation Using Arduino,” 2019. [6] “Greenhouse Using IoT and Cloud Computing,” International Research Journal of Engineering and Technology, vol. 5, no. 3, Mar. 2018.      

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Publication Date

4/25/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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