Yande Liu
Orcid: 0000-0003-2391-8765
According to our database1,
Yande Liu
authored at least 19 papers
between 2010 and 2022.
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Bibliography
2022
Sensors, 2022
Determination of plumpness for kernel of semen ziziphi spinosae use of hyperspectral transmittance imaging technology coupled with improved Otsu algorithm.
Comput. Electron. Agric., 2022
2021
Research on Enhanced Detection of Benzoic Acid Additives in Liquid Food Based on Terahertz Metamaterial Devices.
Sensors, 2021
Wavelength selection method for near-infrared spectroscopy based on standard-sample calibration transfer of mango and apple.
Comput. Electron. Agric., 2021
2020
Non-destructive detection of blackheart and soluble solids content of intact pear by online NIR spectroscopy.
J. Supercomput., 2020
2016
IEICE Electron. Express, 2016
2015
Detection of Phosmet Residues on Navel Orange Skin by Surface-enhanced Raman Spectroscopy.
Intell. Autom. Soft Comput., 2015
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015
Establishment and Optimization of Model for Detecting Epidermal Thickness in Newhall Navel Orange.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015
2013
Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013
2011
FT-NIR and Confocal Microscope Raman Spectroscopic Studies of Sesame Oil Adulteration.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011
2010
Linear and nonlinear multivariate regressions for determination sugar content of intact Gannan navel orange by Vis-NIR diffuse reflectance spectroscopy.
Math. Comput. Model., 2010
Fast Discrimination of Nanfeng Mandarin Varieties Based on Near Infrared Spectroscopy Technique.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
Determination of Pesticide Residues on the Surface of Fruits Using Micro-Raman Spectroscopy.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
An automatic method for identifying different variety of rice seeds using machine vision technology.
Proceedings of the Sixth International Conference on Natural Computation, 2010
On-line NIR predicting soluble solids content of intact pears combination with wavelet transform and support vector regression.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010