Sun Zhizhong, Ph.D.,is a lecturer of the Department of ElectronicandInformation Engineering, Zhejiang A&F University.Heresearches focuses on intelligent non-destructive testing technologies and equipment for agricultural product quality.
Contact:sunzz@zafu.edu.cn
Her representative papers aremainlyas follows:
[1]Sun Zhizhong, Luo Xuan, Xu Wendao., Wang Chen, Ying Yibin*. Intelligent terahertz data analysis in agriculture: A systematic review of AI-driven approaches. 2026 TrAC Trends in Analytical Chemistry.
[2]Sun Zhizhong, Yang Jie, Zheng Yingjie, Liu Penghui, Ma Chan, Hu Dong, Ying Yibin, Xie Lijuan*. Explicable attention mechanism for diameter correction in predicting soluble solids content of fruits. 2025. Computers and Electronics in Agriculture.
[3]Sun Zhizhong, Yang Jie, Yao Yang, Hu Dong, Ying Yibin, Guo Junxian*, Xie Lijuan*. Knowledge-guided temperature correction method for soluble solids content detection of watermelon based on Vis/NIR spectroscopy. 2025. Artificial Intelligence in Agriculture.
[4]Sun Zhizhong, Tian Hao, Hu Dong, Yang Jie, Xie Lijuan, Xu Huirong, Ying Yibin*. Integrating deep learning and data fusion for enhanced oranges soluble solids content prediction using machine vision and Vis/NIR spectroscopy. 2025. Food Chemistry.
[5]Sun Zhizhong, Yang Jie, Hu Dong, Tian Hao, Ying Yibin, Xie Lijuan*. Using knowledge-guided temperature correction for online non-destructive detection of soluble solids content in pear via Vis/NIR spectroscopy. 2024. Postharvest Biology and Technology.
[6]Sun Zhizhong, Hu Dong, Zhou Tongtong, Sun Xiaolin, Xie Lijuan, Ying Yibin*. Development of a multispectral spatial-frequency domain imaging system for property and quality assessment of fruits and vegetables. 2023. Computers and Electronics in Agriculture.
[7]Sun Zhizhong, Hu Dong*, Xie Lijuan, Ying Yibin. Detection of early stage bruise in apples using optical property mapping. 2022. Computers and Electronics in Agriculture.
[8]Sun Zhizhong, Xie Lijuan, Hu Dong*, Ying Yibin. An artificial neural network model for accurate and efficient optical property mapping from spatial-frequency domain images. 2021. Computers and Electronics in Agriculture.
[9]Sun Zhizhong, Hu Dong, Wang Zhong, Xie Lijuan, Ying Yibin*. Spatial-frequency domain imaging: An emerging depth-varying and wide-field technique for optical property measurement of biological tissues. 2021. Photonics.
