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作 者:郭伟 张玉海 刘书豪 于艳[1] 刘静 GUO Wei;ZHANG Yuhai;LIU Shuhao;YU Yan;LIU Jing(College of Mechanical and Electrical Engineering,Qingdao Agricultural University,Qingdao 266109,China;Pingdu Vocational Education School,Qingdao 266700,China;Tengzhou Dongda Mining Limited Liability Company,Tengzhou 277514,China)
机构地区:[1]青岛农业大学机电工程学院,山东青岛266109 [2]平度市职业教育中心学校,山东青岛266700 [3]滕州市东大矿业有限责任公司,山东滕州277514
出 处:《青岛农业大学学报(自然科学版)》2023年第1期68-72,78,共6页Journal of Qingdao Agricultural University(Natural Science)
基 金:山东省重点研发计划项目(2018GNC112016);山东省青创团队建设项目“高端现代农业装备创新研发团队”。
摘 要:以平度市花生收获机械化进程为研究对象,从优势、劣势、机遇和挑战四方面对平度市发展现状进行SWOT分析;以平度市花生收获机械拥有量为参考数列,选取8个主要影响因素为变量,对平度市花生收获机械化发展影响因素进行灰色关联分析。结果显示:花生收获机械拥有量与农民年人均纯收入的关联度最高,为0.898;与每公顷农机总动力的关联度最低,为0.497。从提升农民收入水平、加大教育培训力度、加大扶持资金支持力度、加大花生收获机械推广力度四个方面提出对策,对推进平度市农业机械化发展和青岛市农业现代化的实现具有积极的理论和实践意义。Taking the process of peanut harvesting mechanization in Pingdu as the research object,SWOT analysis was carried out on the development status of Pingdu City from the aspects of advantages,disadvantages,opportunities and challenges.Taking the quantity of peanut harvesting machinery in Pingdu as a reference sequence,eight main influencing factors were selected as variables to conduct grey correlation analysis on the influencing factors of the development of peanut harvesting mechanization in Pingdu.The results showed that the correlation between the ownership of peanut harvesting machinery and the annual per capita net income of farmers was the highest,0.898,and the correlation with the total power of agricultural machinery per hectare was the lowest,0.497.The countermeasures are put forward from the following four aspects:raising farmers’income level,strengthening the education and training,increasing the support of funds,and improving the promotion of peanut harvesting machinery,which has positive theoretical and practical significance for promoting the development of agricultural mechanization in Pingdu and the realization of agricultural modernization in Qingdao.
关 键 词:平度市 SWOT分析 花生收获机械化 灰色关联分析法 对策
分 类 号:S232.9[农业科学—农业机械化工程]
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