智慧农业导刊2025，Vol.5Issue(4)：22-29,8.DOI:10.20028/j.zhnydk.2025.04.006
乡村振兴视域下基于机器学习方法的农业社会化服务分析
丁文博 1宋金林1
作者信息
- 1. 西北农林科技大学 马克思主义学院,陕西 杨凌 712100
- 折叠
摘要
Abstract
Agricultural socialized services are a key factor in promoting sustainable development in rural areas.However,farmers'choices to utilize these services involve complex decision-making processes.This study uses stochastic forest model and structural equation model to deeply study its influencing factors and paths.The study finds that farmers'acceptance of agricultural social services fluctuates greatly,and farmers'choice of agricultural social services is determined by the number of crops planted,education level,farmers'income from growing crops and other factors.Improving publicity effects and enhancing farmers'individual conditions play a key role in improving farmers'choices of agricultural social services.关键词
农业社会化服务/乡村振兴/随机森林模型/结构方程模型/驱动因素Key words
agricultural social services/rural revitalization/stochastic forest model/structural equation model/driving factor分类
管理科学引用本文复制引用
丁文博,宋金林..乡村振兴视域下基于机器学习方法的农业社会化服务分析[J].智慧农业导刊,2025,5(4):22-29,8.
