Integration and performance optimization of gallium nitride barrier micro nano electromechanical systems in intelligent agricultural sensor networks

Abstract

This study aims to explore the application of gallium nitride (GaN) barrier in hardware optimization of micro nano scale electromechanical systems (MEMS), particularly its ability to overcome the limitations of traditional hardware in high-temperature and low-power environments. Through multidimensional experiments such as static testing, dynamic testing, and temperature testing, comprehensively evaluate the performance of gallium nitride barrier based microelectromechanical systems in intelligent agricultural sensor networks. The static test results indicate that with the increase of external force, the electrical response of the system shows a significant improvement, and there is a high linear correlation between external force and electrical response (R² = 0.987). In dynamic testing, as the vibration frequency increased from 1Hz to 1000Hz, the electrical response gradually strengthened, demonstrating the system's good adaptability under high-frequency vibration. However, power consumption also increases with the increase of vibration frequency. The temperature test results show that there is a positive correlation between electrical response and power consumption in the temperature range of −20 °C to 60 °C, indicating that gallium nitride technology can effectively improve the sensitivity, stability, and adaptability of micro nano scale electromechanical systems under different environmental conditions. Research has shown that the application of gallium nitride barrier technology in smart agricultural sensor networks has significant performance optimization potential, especially in extreme temperature and low-power requirements, which can provide more reliable and efficient sensing solutions for smart agriculture.