Evidence map›Paper›PMID 39738115›Full record

ArticleScientific reports2024

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

Siqi Wang, Xinyu Hu, Rui Lu, Shuang Yan, Yunling Li, Daode Zhang

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Siqi WangCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.
Xinyu HuCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China. 19991012@hbut.edu.cn.
Rui LuCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.
Shuang YanCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.
Yunling LiCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.
Daode ZhangCollege of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.

Funding

Department of Agriculture and Rural Affairs of Hubei Province HBSNYT202220
6 · The paper itself

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.

Indexed as

Plant LeavesTensile StrengthLeonurusMultivariate AnalysisNonlinear DynamicsRegression AnalysisGray correlation analysisMugwort petioleMultifactorialMultivariate nonlinear regressionTensile properties

Identifiers

PMID39738115
PMCPMC11685930

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