From microstructure to multivariate prediction models: Decoding the biomechanical properties of tea stems via PLSR-Ridge regression and multifactorial orthogonal design

• Published in: Industrial crops and products Vol. 230; p. 121143
• Main Authors: Han, Chongyang, Lv, Jinhong, Li, Haoxin, Wan, Chenyang, Chen, Yingmei, Wu, Weibin, Luo, Yuanqiang, Li, Jiehao
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2025
• Subjects: Biomechanical property; Cutting devices; Microstructure; Regression analysis; Tea stem; Biomechanical property; Regression analysis; Microstructure; Tea stem; Cutting devices

Efficient harvesting and field management of tea is closely related to the mechanical properties of tea stems; however, there have no research on variables and models that can be used to predict them. In this paper, the relationship between factors (number of segments, diameter, stem length, density...