Tea quality estimation based on multi-source information from leaf and soil using machine learning algorithm

Tea quality estimation based on multi-source information from leaf and soil using machine learning algorithm

Mineral nutrients play a significant role in influencing the quality of tea. In order to detect the quantitative relationships between tea quality and mineral elements from the soil and tea plant, samples of soil and tea leaves from 'Baiyeyihao' and 'Huangjinya' cultivars were co...

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Bibliographic Details
Main Authors: Bin Yang, Jie Jiang, Huan Zhang, Zhaolan Han, Xiaogang Lei, Xuejin Chen, Yao Xiao, Salome Njeri Ndombi, Xujun Zhu, Wanping Fang
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Food Chemistry: X
Subjects:
Tea
Mineral element
Biochemical component
Multiple linear regression
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157523004182

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http://www.sciencedirect.com/science/article/pii/S2590157523004182

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