Greenhouse Monitoring System Using NodeMCU

The greenhouse monitoring system utilizing NodeMCU represents a significant advancement in greenhouse automation, providing a reliable and cost-effective solution for monitoring environmental conditions critical to plant health. Leveraging the Internet of Things (IoT), this system integrates NodeMCU, a Wi-Fi-enabled microcontroller, with sensors for temperature, humidity, methane, carbon-dioxide, light intensity, soil moisture and uses machine learning (image processing) algorithms to find plant disease. Data is collected and transmitted to a cloud platform, enabling real-time remote monitoring and management from different greenhouses. The system's alert functionality notifies users of any deviations from optimal conditions, allowing for timely interventions to support quantity and quality crop growth. This automated solution promotes sustainable agriculture by reducing manual labor, enhancing energy efficiency, water management and ensuring precise control over environmental variables. Through continuous data logging and analysis, users can optimize greenhouse management strategies, making this system ideal for both small-scale and commercial greenhouses

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Published
2025-04-23
DOI
https://doi.org/10.1109/raeeucci63961.2025.11048247
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Greenhouse Monitoring System Using NodeMCU

A. Sriram, Barath Kumar B, R Manoojitth, Inba Thamilan M
IoT-based Smart Home Systems
article

Greenhouse Monitoring System Using NodeMCU

A. Sriram, Barath Kumar B, R Manoojitth, Inba Thamilan M
article en

Abstract

The greenhouse monitoring system utilizing NodeMCU represents a significant advancement in greenhouse automation, providing a reliable and cost-effective solution for monitoring environmental conditions critical to plant health. Leveraging the Internet of Things (IoT), this system integrates NodeMCU, a Wi-Fi-enabled microcontroller, with sensors for temperature, humidity, methane, carbon-dioxide, light intensity, soil moisture and uses machine learning (image processing) algorithms to find plant disease. Data is collected and transmitted to a cloud platform, enabling real-time remote monitoring and management from different greenhouses. The system's alert functionality notifies users of any deviations from optimal conditions, allowing for timely interventions to support quantity and quality crop growth. This automated solution promotes sustainable agriculture by reducing manual labor, enhancing energy efficiency, water management and ensuring precise control over environmental variables. Through continuous data logging and analysis, users can optimize greenhouse management strategies, making this system ideal for both small-scale and commercial greenhouses

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 87%
IoT-based Smart Home Systems
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Greenhouse Monitoring System Using NodeMCU — A. Sriram, Barath Kumar B, et al. · (2025) | TGRS Research Map | TGRS