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EXPERIMENTAL DATA FITTING AND INFLUENCING FACTORS ANALYSIS OF TEA WITHERING
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With the continuous progress of tea factory intelligence and modernization, the construction of tea withering mode plays the important role on the product quality in the process of tea withering. It is very important to analyze the construction of tea withering model and the analysis of influencing factors for the improvement of product quality in the process of tea withering. In this paper, the weight of each factor of tea withering on the trend and time of water loss and weight loss of the whole withering was successfully analyzed by means of multiple regression analysis. When withering to 50 % weight loss, the weight of each factor from large to small is temperature, humidity, tea green layer number, tea green density. At the same time, multiple regression analysis was used to predict the trend of withering water loss and weight loss under different conditions. The model data fitting can better control the withering time, and has positive significance for the post-mortem investigation of the withering process.
Upubscience Publisher
Title: EXPERIMENTAL DATA FITTING AND INFLUENCING FACTORS ANALYSIS OF TEA WITHERING
Description:
With the continuous progress of tea factory intelligence and modernization, the construction of tea withering mode plays the important role on the product quality in the process of tea withering.
It is very important to analyze the construction of tea withering model and the analysis of influencing factors for the improvement of product quality in the process of tea withering.
In this paper, the weight of each factor of tea withering on the trend and time of water loss and weight loss of the whole withering was successfully analyzed by means of multiple regression analysis.
When withering to 50 % weight loss, the weight of each factor from large to small is temperature, humidity, tea green layer number, tea green density.
At the same time, multiple regression analysis was used to predict the trend of withering water loss and weight loss under different conditions.
The model data fitting can better control the withering time, and has positive significance for the post-mortem investigation of the withering process.
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