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中国农机化学报

中国农机化学报 ›› 2023, Vol. 44 ›› Issue (6): 251-256.DOI: 10.13733/j.jcam.issn.2095-5553.2023.06.036

• 农业机械化综合研究 • 上一篇    

植保无人驾驶航空器购置补贴分类分档与补贴额研究

彭长虹1,张君兰2,胡红3,田富强1,熊友1,王莲冀1   

  1. 1. 西华大学机械工程学院,成都市,610039; 
    2. 西华大学经济学院,成都市,610039;

    2. 西华大学现代农业装备研究院,成都市,610039
  • 出版日期:2023-06-15 发布日期:2023-07-10
  • 基金资助:
    四川省科技计划项目(2021JDR0054)

Study on the classification and allocation of subsidies for the purchase of plant protection unmanned aerial vehicles and the amount of subsidies

Peng Changhong1, Zhang Junlan2, Hu Hong3, Tian Fuqiang1, Xiong You1, Wang Lianji1   

  • Online:2023-06-15 Published:2023-07-10

摘要: 植保无人驾驶航空器作为一种先进、高效率的现代农业装备近几年在我国得到快速发展,2017年首次被试点省市纳入农业机械购置补贴范围。由于补贴政策实施时间较短,存在着许多不合理的因素。整理总结2017年以来各试点省市及农业农村部实施的植保无人驾驶航空器发展、补贴现状,综合相关分类分档政策。在此基础上指出基本配置参数、补贴额设定等方面的问题,分析存在质量与补贴额不对等、基本参数限制过少、分档未突出高端产品、补贴未考虑到偏远地区等现象。最后结合实际情况,指出植保无人驾驶航空器的补贴政策将朝着统一质量鉴定、细化分档参数、突出智能化技术、精准补贴标准及根据区域设置补贴等方面发展。

关键词: 植保无人驾驶航空器, 购置补贴, 分档参数, 补贴额, 载药量

Abstract: Plant protection unmanned aerial vehicles (UAVs), advanced and efficient modern agricultural equipment, have developed rapidly in China in recent years. In 2017, it was included in the subsidy scope of agricultural machinery purchase by pilot provinces and cities for the first time. However, because of the short implementation time of the subsidy policy, there are many unreasonable factors. This paper summarizes the development and subsidy status of UAVs for plant protection implemented by pilot provinces and municipalities and the Ministry of Agriculture and Rural Affairs since 2017, and summarizes relevant classification and classification policies. Based on the summary, this study points out the problems in basic configuration parameters and subsidy amount setting, including unequal quality and subsidy amount, too little limitation on basic parameters, not highlighting highend products in the classification, and not considering remote areas in the subsidy. Finally, the study suggests that the subsidy policy of plant protection UAVs will develop towards unifying quality appraisal, refining classification parameters, highlighting intelligent technology, precise subsidy standard, and setting subsidies according to actual situations of different regions.

Key words: plant protection unmanned aerial vehicle, purchase subsidy, classification parameters, subsidy; drug loading content

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