Smart Green House Automation using LabVIEW and myRio

<p><span>The integration of automated technology into agriculture records rapid development through the development of smart greenhouse systems. This project presents the design and implementation of an intelligent greenhouse automation system with LabView and Myrio, improving agricultural productivity by creating a controlled environment that adapts to real-time conditions. The system uses a variety of sensors to monitor environmental factors such as temperature, humidity. These parameters are collected and processed continuously by Myrio hardware, a compact embedded system that provides powerful real-time control. LabView, a graphics programming platform, is used to develop interfaces for systems. This allows for seamless visualization and control of greenhouse conditions. The system automatically adjusts environmental controls such as ventilation and irrigation to maintain optimal plant growth conditions. Additionally, the platform allows remote monitoring and manual intervention when needed, ensuring maximum efficiency and resource protection. This article examines the possibilities of this intelligent greenhouse system to promote sustainable agricultural practices and improve yields, simultaneously reducing operational costs. The proposed system demonstrates the practical application of advanced control techniques in agricultural automation and agrees with the goals of precision breeding and intellectual agriculture.</span></p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-06
DOI
https://doi.org/10.5281/zenodo.14978561
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Green House Automation using LabVIEW and myRio

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Smart Green House Automation using LabVIEW and myRio

article en

Abstract

<p><span>The integration of automated technology into agriculture records rapid development through the development of smart greenhouse systems. This project presents the design and implementation of an intelligent greenhouse automation system with LabView and Myrio, improving agricultural productivity by creating a controlled environment that adapts to real-time conditions. The system uses a variety of sensors to monitor environmental factors such as temperature, humidity. These parameters are collected and processed continuously by Myrio hardware, a compact embedded system that provides powerful real-time control. LabView, a graphics programming platform, is used to develop interfaces for systems. This allows for seamless visualization and control of greenhouse conditions. The system automatically adjusts environmental controls such as ventilation and irrigation to maintain optimal plant growth conditions. Additionally, the platform allows remote monitoring and manual intervention when needed, ensuring maximum efficiency and resource protection. This article examines the possibilities of this intelligent greenhouse system to promote sustainable agricultural practices and improve yields, simultaneously reducing operational costs. The proposed system demonstrates the practical application of advanced control techniques in agricultural automation and agrees with the goals of precision breeding and intellectual agriculture.</span></p>

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 68%
Smart Agriculture and AI
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Smart Green House Automation using LabVIEW and myRio · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS