A Smart Plant Monitoring System Using Arduino

Abstract: In recent years, the integration of automation and IoT technologies in agriculture has gained significant attention for improving resource efficiency, sustainability, and productivity. This paper presents a Smart Plant Monitoring System using Arduino, designed to automate irrigation and enhance plant care by continuously monitoring soil moisture, temperature, and humidity levels. The system employs an Arduino Uno microcontroller, soil moisture sensor, DHT11 temperature & humidity sensor, relay module, LCD display, and water pump to develop an intelligent irrigation system. Experimental results demonstrate a 30-40% reduction in water consumption and improved irrigation efficiency. The study highlights future improvements, including AI-based predictive analytics, IoT-enabled remote monitoring, and solar power integration. The proposed system is aimed at both small-scale urban gardening and large-scale agricultural applications, offering a cost-effective and scalable solution..

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-19
DOI
https://doi.org/10.22214/ijraset.2025.68990
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Smart Plant Monitoring System Using Arduino

Aasif Shaikh
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

A Smart Plant Monitoring System Using Arduino

Aasif Shaikh
article en

Abstract

Abstract: In recent years, the integration of automation and IoT technologies in agriculture has gained significant attention for improving resource efficiency, sustainability, and productivity. This paper presents a Smart Plant Monitoring System using Arduino, designed to automate irrigation and enhance plant care by continuously monitoring soil moisture, temperature, and humidity levels. The system employs an Arduino Uno microcontroller, soil moisture sensor, DHT11 temperature & humidity sensor, relay module, LCD display, and water pump to develop an intelligent irrigation system. Experimental results demonstrate a 30-40% reduction in water consumption and improved irrigation efficiency. The study highlights future improvements, including AI-based predictive analytics, IoT-enabled remote monitoring, and solar power integration. The proposed system is aimed at both small-scale urban gardening and large-scale agricultural applications, offering a cost-effective and scalable solution..

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Swami Vivekanand College of Pharmacy (IN)
Openalex Percentile: Top 94%
IoT-based Smart Home Systems
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