Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

pH value is a crucial indicator for evaluating silage quality. In this study, taking maize silage as the research object, a quantitative prediction model of pH value change during the secondary fermentation of maize silage was constructed based on computer vision. Firstly, maize silage samples were...

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Bibliographic Details
Main Authors: Xianguo Ren, Haiqing Tian, Kai Zhao, Dapeng Li, Ziqing Xiao, Yang Yu, Fei Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agriculture
Subjects:
maize silage
pH value
secondary fermentation
computer vision
machine learning
regression model
Online Access:https://www.mdpi.com/2077-0472/12/10/1623

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