Hyoungjun Sim
Papers
1
Total Citations
4
H-Index
1
About
Hyoungjun Sim is a researcher whose work sits at the intersection of agricultural technology and low-cost sensor design. His primary research focus is on developing practical, accessible sensing solutions for food quality assessment, with a particular emphasis on near-infrared (NIR) spectroscopy for non-destructive fruit ripeness detection. His most notable contribution is the development and fabrication of two NIR-based sensor embodiments for detecting ripeness in blueberries and peaches, as detailed in his 2019 paper. By utilizing low-cost LEDs and photodiodes, Sim’s work directly addresses the need for affordable, field-deployable tools that can replace expensive laboratory-grade spectrometers. This innovation has the potential to empower small-scale farmers and supply chain workers with real-time ripeness data, reducing food waste and improving harvest timing. While his citation count of 4 reflects the early stage of his career, the practical, application-driven nature of his research signals a strong foundation for future impact in precision agriculture and post-harvest technology.
Research Focus
Key Achievements
Top Papers
- 1