Non-destructive Smart Sensing Lab.
The Non-destructive Smart Sensing Laboratory conducts research on intelligent smart farm technologies, agricultural food quality and safety inspection technologies, and smart breeding technologies by utilizing advanced technologies in the field of non-destructive measurement, such as hyperspectral imaging, Raman spectroscopy, 3D imaging measurement technologies, and artificial intelligence data analysis technologies including Machine Learning and Deep Learning.
Location: Room 303, Building No. 1, College of Agriculture and Life Sciences
Intelligent Smart Farm System Development
- Development of smart agriculture technologies using image recognition
- Development of AI & IoT-based smart beekeeping management technologies
- Disease monitoring using biological remote thermal detection technologies
- Development of smart harvesting robots using artificial intelligence
- Research on intelligent crop growth and environment diagnostics using IoT & drones
Smart Quality and Safety Inspection Technology Development
- Development of agricultural food safety inspection technologies using hyperspectral imaging
- Development of agricultural product safety inspection technologies using Raman spectroscopy
- Rapid safety inspection technologies using ultra-small smart devices
- Rapid inspection technologies for hazardous substances in agricultural products using artificial intelligence
- Research on quality prediction of livestock products using 3D imaging technology
- Comprehensive non-destructive quality assessment of agricultural products based on big data
Smart Breeding Technology Development
- Research on plant phenotyping measurement using 2D images
- Development of early selection technologies for superior seeds using fluorescence imaging
- Selection technologies for high-germination genetic resources using spectral imaging
- Development of integrated plant phenotyping prediction technologies by combining 3D imaging and optical technologies
