The evaluation method of livestock manure resource utilization management model based on random forest algorithm

The utilization of livestock and poultry manure resources has become a crucial aspect of agricultural development due to the growth of the social economy and increased environmental protection awareness. However, at present, the resource of utilization effect of livestock manure is insufficient, res...

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Bibliographic Details
Published inJournal of biotech research Vol. 15; pp. 346 - 354
Main Authors Wang, Buyu, Du, Jialei, Yu, Youxin
Format Journal Article
LanguageEnglish
Published Edmond Bio Tech System 01.01.2023
Subjects
Agricultural development
Agricultural production
Algorithms
Animal wastes
Capitation
Correlation coefficient
Correlation coefficients
Data collection
Dependent variables
Efficiency
Environmental protection
Fertilizers
Independent variables
Livestock
Management
Manures
Mathematical models
Methods
Nutrients
Poultry
Poultry manure
Reliability analysis
Resource utilization
Software
Variables
Variance
China
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Summary:The utilization of livestock and poultry manure resources has become a crucial aspect of agricultural development due to the growth of the social economy and increased environmental protection awareness. However, at present, the resource of utilization effect of livestock manure is insufficient, resulting in a large amount of livestock manure resources wasted. In order to analyze the evaluation effect of the management model on the resource utilization of livestock and poultry manure, this study took livestock and poultry manure resources asan independent variable and used the management model and random forest algorithm as the dependent variables. IBM SPSS software was employed to conduct various analysis methods to evaluate the connection between variables to assess the outcomes of the management model in utilizing livestock manure resources. The Pearson coefficient results showed that the correlation coefficients between the independent variable livestock manure and the utilization management model and the random forest algorithm were -0.067 and 0.275, respectively. In addition, the reliability analysis results showed that the reliability values of standard variance, actual variance, and error variance were 0.751,0.058, and 0.693, respectively. The results suggested that the use of a management model based on the random forest algorithm positively impacted the evaluation of livestock and poultry manure resource utilization. This model could be utilized to improve the effectiveness of using these resources.
ISSN:1944-3285