Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole

Abstract The defoliation quality of mugwort defoliation equipment is an important factor to measure the defoliation efficiency, and the tensile properties of mugwort petiole will have an impact on the defoliation quality, such as the crushing rate and the abscission rate. In order to reduce the crus...

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Main Authors: Siqi Wang, Xinyu Hu, Rui Lu, Shuang Yan, Yunling Li, Daode Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-76771-6
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author Siqi Wang
Xinyu Hu
Rui Lu
Shuang Yan
Yunling Li
Daode Zhang
author_facet Siqi Wang
Xinyu Hu
Rui Lu
Shuang Yan
Yunling Li
Daode Zhang
author_sort Siqi Wang
collection DOAJ
description Abstract The defoliation quality of mugwort defoliation equipment is an important factor to measure the defoliation efficiency, and the tensile properties of mugwort petiole will have an impact on the defoliation quality, such as the crushing rate and the abscission rate. In order to reduce the crushing rate and improve the abscission rate during mechanical harvesting of mugwort leaves, the tensile properties of mugwort petiole need to be studied. The tensile properties of mugwort petiole are closely related to its macroscopic and microscopic physicochemical parameters. Therefore, this paper takes Qichun mugwort as the research object, carries out the research on correlation analysis and multivariate nonlinear regression modeling of the tensile properties of mugwort petiole. First, the macroscopic physical parameters of mugwort, the microstructural parameters and the chemical components of mugwort were tested, and the tensile force of mugwort petiole was measured. Then, through the grey correlation and the Pearson correlation analysis, the weight values were determined with tensile properties of the mugwort petiole and each influential factors, and the multivariate nonlinear regression model of the tensile properties of mugwort petiole and its influencing factors was established by the weight values of each influencing factors. Finally, the regression model was verified. The results showed that the model had a goodness of fit of 0.725 to the experimental data, with an average absolute percentage error of 1.9%, a root mean square error of 16.3% and an average absolute error of 13.4%. The accuracy of the tensile properties model is high, which can provide data reference and theoretical basis for the design of mugwort defoliation equipment.
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spelling doaj-art-cbdb79cd23064747a7dc6f831a99bc612025-08-20T01:47:57ZengNature PortfolioScientific Reports2045-23222024-12-0114111410.1038/s41598-024-76771-6Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petioleSiqi Wang0Xinyu Hu1Rui Lu2Shuang Yan3Yunling Li4Daode Zhang5College of Mechanical Engineering, Hubei University of TechnologyCollege of Mechanical Engineering, Hubei University of TechnologyCollege of Mechanical Engineering, Hubei University of TechnologyCollege of Mechanical Engineering, Hubei University of TechnologyCollege of Mechanical Engineering, Hubei University of TechnologyCollege of Mechanical Engineering, Hubei University of TechnologyAbstract The defoliation quality of mugwort defoliation equipment is an important factor to measure the defoliation efficiency, and the tensile properties of mugwort petiole will have an impact on the defoliation quality, such as the crushing rate and the abscission rate. In order to reduce the crushing rate and improve the abscission rate during mechanical harvesting of mugwort leaves, the tensile properties of mugwort petiole need to be studied. The tensile properties of mugwort petiole are closely related to its macroscopic and microscopic physicochemical parameters. Therefore, this paper takes Qichun mugwort as the research object, carries out the research on correlation analysis and multivariate nonlinear regression modeling of the tensile properties of mugwort petiole. First, the macroscopic physical parameters of mugwort, the microstructural parameters and the chemical components of mugwort were tested, and the tensile force of mugwort petiole was measured. Then, through the grey correlation and the Pearson correlation analysis, the weight values were determined with tensile properties of the mugwort petiole and each influential factors, and the multivariate nonlinear regression model of the tensile properties of mugwort petiole and its influencing factors was established by the weight values of each influencing factors. Finally, the regression model was verified. The results showed that the model had a goodness of fit of 0.725 to the experimental data, with an average absolute percentage error of 1.9%, a root mean square error of 16.3% and an average absolute error of 13.4%. The accuracy of the tensile properties model is high, which can provide data reference and theoretical basis for the design of mugwort defoliation equipment.https://doi.org/10.1038/s41598-024-76771-6Mugwort petioleTensile propertiesMultifactorialGray correlation analysisMultivariate nonlinear regression
spellingShingle Siqi Wang
Xinyu Hu
Rui Lu
Shuang Yan
Yunling Li
Daode Zhang
Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
Scientific Reports
Mugwort petiole
Tensile properties
Multifactorial
Gray correlation analysis
Multivariate nonlinear regression
title Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
title_full Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
title_fullStr Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
title_full_unstemmed Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
title_short Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
title_sort research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole
topic Mugwort petiole
Tensile properties
Multifactorial
Gray correlation analysis
Multivariate nonlinear regression
url https://doi.org/10.1038/s41598-024-76771-6
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