<![CDATA[This study presents the development of an automated lighting system based on light sensors to support optimal photosynthesis in plants, particularly in low-light environments. Employing a Design-Based Research (DbR) methodology, the system was simulated using the Thinkercad Circuits platform. The prototype integrates a Light Dependent Resistor (LDR), an Arduino UNO microcontroller, and light-emitting diodes (LEDs) as artificial light sources. The simulation results demonstrate the system's ability to detect ambient light intensity in real time and activate or deactivate the lighting mechanism accordingly, based on a calibrated threshold. The findings suggest that such automation can maintain consistent light availability for plants, enhancing photosynthetic efficiency. This approach offers a cost-effective and scalable solution for smart agriculture applications, particularly in urban farming, greenhouse environments, and educational contexts. The system also holds promise for future integration into energy-efficient precision farming technologies.]]>
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