Performance of an internet of things based plant monitoring and irrigation system using solar energy

This paper aims to present an internet of things (IoT) based plant monitoring and irrigation system powered by solar energy. The system enhances plant care by continuously monitoring environmental conditions such as soil moisture, temperature and humidity with real data displaye via the Blynk platform. User can remotely monitor and control irrigation through interactive widgets, ensuring efficient plant management. By integrating solar energy, the system operates sustainably, and reduce reliance on conventional electricity. Performance evaluation demonstrates a temperature sensor accuracy of 98%, a humidity sensor accuracy of 95% and soil moisture sensor error margin of 2-3%. Experiment results indicate improved plant growth of 7-8% compared to traditional farming practices, showcasing the system’s potential for increased productivity and conversion. This research highlight the benefits of combining IoT and renewable energy to offer an innovative, and eco-friendly solution for agricultural management.

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Publication Details

Journal
Bulletin of Electrical Engineering and Informatics
Published
2025-08-01
DOI
https://doi.org/10.11591/eei.v14i4.9085
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance of an internet of things based plant monitoring and irrigation system using solar energy

Sanjoy Kumar Debnath, Mohd Razali Mohamad Sapiee, Khalil Azha Mohd Annuar, Md Azim Affzani Md Rozani
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Bulletin of Electrical Engineering and Informatics
Smart Agriculture and AI
article

Performance of an internet of things based plant monitoring and irrigation system using solar energy

Sanjoy Kumar Debnath, Mohd Razali Mohamad Sapiee, Khalil Azha Mohd Annuar, Md Azim Affzani Md Rozani
article en

Abstract

This paper aims to present an internet of things (IoT) based plant monitoring and irrigation system powered by solar energy. The system enhances plant care by continuously monitoring environmental conditions such as soil moisture, temperature and humidity with real data displaye via the Blynk platform. User can remotely monitor and control irrigation through interactive widgets, ensuring efficient plant management. By integrating solar energy, the system operates sustainably, and reduce reliance on conventional electricity. Performance evaluation demonstrates a temperature sensor accuracy of 98%, a humidity sensor accuracy of 95% and soil moisture sensor error margin of 2-3%. Experiment results indicate improved plant growth of 7-8% compared to traditional farming practices, showcasing the system’s potential for increased productivity and conversion. This research highlight the benefits of combining IoT and renewable energy to offer an innovative, and eco-friendly solution for agricultural management.

Bulletin of Electrical Engineering and InformaticsVol. 14(4)
Technical University of Malaysia Malacca (MY), Institute of Engineering (NP), Chitkara University (IN)
Openalex Percentile: Top 85%
Smart Agriculture and AI
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