Description of field of research:

This project investigate the potentials of mmWave radar technology in smart agriculture and manufacturing applications. Prior research shows the reflective radio signal (strength and phase) from the radar is affected by the moisture levels of the reflectors and may be used to measure the moisture levels of different surfaces such as leaves and coffee beans, which indicate the healthiness of the leaves and roast levels of the beans. Based on the latest development of embedded mmWave radar technology (https://www.ti.com/sensors/mmwave-radar/overview.html), this project will investigate the feasibility and robustness of such technology to provide realtime in-situ sensing in smart agriculture and manufacturing environments.

School

Computer Science and Engineering

Research areas

IoT, radio sensing, mmWave radar

Funded by ARC and CRC, our group has two postdoctoral fellows and four PhD students working in the the field of radio sensing. We have more than 10 state-of-the-art TI mmWave radars for radio data capturing, 10 GPUs (e.g., 1080i and Tesla v100) available for radio data analysis (e.g., via deep learning).

An embedded mmWave radar system that can measure the moisture levels of different surfaces in-situ in realtime.

  • https://www.ti.com/sensors/mmwave-radar/overview.html
  • https://dl.acm.org/doi/abs/10.1145/3494971?casa_token=LezV7j5jBuoAAAAA:5_0RkIbf7oSg83FURPIDb4lDbcfVEgiSsrDuUpCt-1PqJx7lHTgFXWO18H-s1Q310D2FvTMSVzL0QQ
  • https://www.mdpi.com/2073-4395/11/2/279/html