Area of research
Analytical Chemistry · Atmospheric Science
Research interest
Research focused on Hyperspectral imaging and Artificial intelligence, with related work in Pattern recognition (psychology), Discrete element method, Water content. Notable publications include 'Modelling and simulation of the grain threshing process based on the discrete element method', 'Classification of Black Beans Using Visible and Near Infrared Hyperspectral Imaging', and 'Modelling and simulation of the straw-grain separation process based on a discrete element model with flexible hollow cylindrical bonds'.
Enhanced classification of unsound sorghum kernels based on decision-level fusion of hyperspectral and imaging textural features
The Relation between Soil Moisture Phase Transitions and Soil Pore Structure under Freeze–Thaw Cycling
Describing Lettuce Growth Using Morphological Features Combined with Nonlinear Models
Metabolomics Analysis of Lettuce (Lactuca sativa L.) Affected by Low Potassium Supply
DETECTION OF THE NUTRITIONAL STATUS OF PHOSPHORUS IN LETTUCE USING THZ TIME-DOMAIN SPECTROSCOPY
Modelling and simulation of the grain threshing process based on the discrete element method
Modelling and simulation of the straw-grain separation process based on a discrete element model with flexible hollow cylindrical bonds
<scp>D</scp>iscrimination of pesticide residues in lettuce based on chemical molecular structure coupled with wavelet transform and near infrared hyperspectra
Identification of moisture content in tobacco plant leaves using outlier sample eliminating algorithms and hyperspectral data
Classification of Black Beans Using Visible and Near Infrared Hyperspectral Imaging