Simulation of Arduino-Based Greenhouse Monitoring System Using TinkerCAD

Engr. Arvin C. Cabrera, Dr. Ma. Magdalena V. Gatdula, Engr. Michael Andre P. Guevarra and Engr. Christian Carr DG. Tac-an
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Engr. Arvin C. Cabrera: Master of Science in Computer Engineering, Graduate School, Bulacan State University, Malolos City, 3000
Dr. Ma. Magdalena V. Gatdula: Professor, Graduate School; University Registrar, Bulacan State University, Malolos City, 3000
Engr. Michael Andre P. Guevarra: Master of Engineering Program, Major in Computer Engineering, Graduate School, Bulacan State University, Malolos City, 3000
Engr. Christian Carr DG. Tac-an: Master of Science in Computer Engineering, Graduate School, Bulacan State University, Malolos City, 3000

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 11, 4679-4700

Abstract: This study presents the Simulation of an Arduino-Based Greenhouse Monitoring System Using TinkerCAD, designed to demonstrate automated environmental monitoring and control within a greenhouse. The project aims to maintain optimal growing conditions by continuously measuring temperature, ambient lighting, and soil moisture through a temperature sensor, LDR, and soil moisture sensor. System responses are displayed via an LCD, while actuators-such as a fan, shade mechanism, and a light bulb representing a solenoid valve-operate based on threshold values. The system architecture and block-based code were developed using TinkerCAD, incorporating timers and flag variables to mimic non-blocking execution despite platform limitations. The algorithm cycles through sensing, displaying, controlling, and reset phases, computing average sensor readings and activating actuators accordingly. Results confirmed correct detection and response across various environmental conditions, including temperature classification, light intensity interpretation, and soil moisture levels. Overall, the simulation successfully achieved its objectives by demonstrating how automated greenhouse control can be implemented using Arduino components in a virtual environment. Future improvements may focus on enhanced synchronization of sensor data and more advanced control algorithms to better replicate real-world greenhouse automation.

Date: 2025
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