Authors :
Nihad Fattahzada; Umid Asgarzada; Artoghrul Musayev
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/46kapkx2
DOI :
https://doi.org/10.38124/ijisrt/25may1890
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This paper proposes a simulation-based smart greenhouse management system specifically designed for soilless
agriculture applications. Integrating an Arduino Uno microcontroller with a desktop application built in C#, the system provides
real-time monitoring and precise control of critical environmental parameters including temperature, humidity, electrical
conductivity (EC), pH levels, light intensity, and water management. A structured serial communication protocol facilitates robust
data exchange, allowing immediate sensor feedback and dynamic adjustment of actuator operations. Using Proteus Design Suite,
the system is thoroughly validated in a virtual simulation environment, enabling comprehensive testing of automated responses
under various stress scenarios without physical hardware. Results demonstrate effective autonomous control, consistent
performance, and reliable interaction between embedded systems and user interface components. The presented framework offers
a cost-efficient, adaptable, and user-friendly solution, paving the way for future IoT integration and AI-driven adaptive strategies
in precision agriculture.
Keywords :
Smart Greenhouse, Soilless Agriculture, Arduino Uno, Simulation-Based Validation, Desktop Application, Real-Time Monitoring, Automated Control, Proteus Simulation, Serial Communication, Precision Agriculture, Environmental Parameters, IoT Integration.
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This paper proposes a simulation-based smart greenhouse management system specifically designed for soilless
agriculture applications. Integrating an Arduino Uno microcontroller with a desktop application built in C#, the system provides
real-time monitoring and precise control of critical environmental parameters including temperature, humidity, electrical
conductivity (EC), pH levels, light intensity, and water management. A structured serial communication protocol facilitates robust
data exchange, allowing immediate sensor feedback and dynamic adjustment of actuator operations. Using Proteus Design Suite,
the system is thoroughly validated in a virtual simulation environment, enabling comprehensive testing of automated responses
under various stress scenarios without physical hardware. Results demonstrate effective autonomous control, consistent
performance, and reliable interaction between embedded systems and user interface components. The presented framework offers
a cost-efficient, adaptable, and user-friendly solution, paving the way for future IoT integration and AI-driven adaptive strategies
in precision agriculture.
Keywords :
Smart Greenhouse, Soilless Agriculture, Arduino Uno, Simulation-Based Validation, Desktop Application, Real-Time Monitoring, Automated Control, Proteus Simulation, Serial Communication, Precision Agriculture, Environmental Parameters, IoT Integration.