Jianhua Wang

Non-destructive analysis of germination percentage, germination energy and simple vigour index on wheat seeds during storage by Vis/NIR and SWIR hyperspectral imaging.

Shuxiang Fan, Tingting Zhang, Yingying Xiang, 2020, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Application of Computer Vision Technology on Seed Conditioning and Parameter Determination of Zhengdan958 Corn Variety (Zea Mays L.)

Jianhua Wang, Qun Sun, Liming Yang, 2018, DEStech Transactions on Computer Science and Engineering.

A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

Jianhua Wang, Qun Sun, Riliang Gu, 2022, Plant methods.

Discrimination of individual seed viability by using oxygen consumption technique and headspace gas chromatography-ion mobility spectrometry

Jianhua Wang, Qun Sun, Liming Yang, 2022, Journal of Integrative Agriculture.

Physical and chemical difference of seed coat between hard and soft seeds of Licorice (Glycyrrhiza Uralensis Fisch)

Wenjing, Jianhua Wang, Qun Sun, 2018 .

Evaluation of volatile metabolites as potential markers to predict naturally-aged seed vigour by coupling rapid analytical profiling techniques with chemometrics.

C. Ayed, Ian D Fisk, N. Yang, 2021, Food chemistry.

A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds

Jianhua Wang, Bin Zhao, Tingting Zhang, 2018, Sensors.

A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning

Tingting Zhang, Jianhua Wang, Qun Sun, 2021, Comput. Electron. Agric..

Selection for high quality pepper seeds by machine vision and classifiers

Jianhua Wang, Qun Sun, Qun Sun, 2018, Journal of Integrative Agriculture.

[Identification of hardness of licorice single seed using near infrared spectroscopy].

Jianhua Wang, Qun Sun, Bao-qi Sun, 2009, Guang pu xue yu guang pu fen xi = Guang pu.