Journal of Young Scientists & Engineers (JYSE)

This study presents a budget-friendly air-quality monitoring setup for school classrooms using ESP32 microcontrollers and optical dust sensors. The author assembled eight nodes, calibrated them against a reference monitor, and logged PM2.5 values over six weeks. The network achieved an average absolute error of 4.8 µg/m³ after calibration and helped identify ventilation periods associated with elevated particle levels. The work demonstrates an approachable pathway for high-school students to conduct meaningful environmental sensing projects.

This study evaluates a lightweight vision and control stack for autonomous row-following in small student-managed crop plots. The rover maintained stable tracking across mixed lighting conditions and reduced manual guidance time during routine field observations.

This study benchmarks low-cost accelerometer nodes configured for classroom seismic alert prototypes. The best setup balanced sensitivity and false-alert control while preserving low-latency messaging performance.