Yuan Long

Label-free detection of maize kernels aging based on Raman hyperspcectral imaging techinique

Wenqian Huang, X. Tian, Xiuying Tang, 2022, Comput. Electron. Agric..

A unique method for detecting beef tenderness based on viscoelasticity principle.

Yankun Peng, Xilong Kang, Yong-yu Li, 2017, Journal of texture studies.

Physiological Alterations and Nondestructive Test Methods of Crop Seed Vigor: A Comprehensive Review

Shuxiang Fan, X. Tian, Chi Zhang, 2023, Agriculture.

Variety classification of coated maize seeds based on Raman hyperspectral imaging.

Shuxiang Fan, Chi Zhang, Zuchao Wang, 2021, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Rapid and Non-destructive Classification of New and Aged Maize Seeds Using Hyperspectral Image and Chemometric Methods

Shuxiang Fan, X. Tian, Yuan Long, 2022, Frontiers in Plant Science.

Screening naturally mildewed maize kernels based on Raman hyperspectral imaging coupled with machine learning classifiers

X. Tian, Qingyan Wang, Yuan Long, 2022, Journal of Food Process Engineering.

Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics.

Xi Tian, Long Yuan, Wenqian Huang, 2021, Food chemistry.

Identification of Peanut Kernels Infected with Multiple Aspergillus flavus Fungi Using Line-Scan Raman Hyperspectral Imaging

X. Tian, Yuan Long, Guang Yang, 2023, Food Analytical Methods.