我国智慧果园关键技术装备研究应用现状与展望
Research application status and prospect of key technology and equipment for smart orchard in China
王文明 1王志强 2韩明明 3冯光 4王海波2
作者信息
- 1. 台州科技职业学院,浙江 318020
- 2. 中国农业科学院果树研究所
- 3. 淄博市农业科学研究院
- 4. 淄博数字农业农村研究院
- 折叠
摘要
我国是水果生产大国,果树种植面积和产量均居世界首位.智慧农业的兴起给果树产业发展带来了新的机遇,顺应时代发展潮流,及时整合果树生产要素,积极引入现代信息技术,更新换代传统经营模式,加快果树产业升级,已成为广大果农及果树经营组织的迫切需求.梳理了我国智慧果园关键技术装备研究现状,总结了制约我国智慧果园技术发展的瓶颈问题:果农观念滞后,接受新技术能力弱;技术标准不统一,缺乏相关高技术人才;技术尚不成熟,装备成本较高等.最后提出智慧果园技术未来的发展方向:加强果园专用传感器研发,构建更先进的农业物联网系统;突破农业机器人技术,打造"无人果园".
Abstract
China is a large fruit country,fruit tree planting area and fruit production ranked first in the world.With the rise of smart agriculture,the development of the fruit tree industry has brought new opportunities,in line with the trend of development of the times,timely integration of fruit tree production factors,and actively introduce modern information technology,update and replace the traditional mode of operation,accelerate the upgrading of the fruit tree industry has become an urgent need for the vast number of fruit farmers and fruit tree business organizations.The article sorted out the research status of key technology and equipment of China's smart orchard,and summarized the bottlenecks restricting the development of China's smart orchard technology are:lagging behind the concepts of fruit growers,the ability to accept new technologies is weak;inconsistent technical standards,lack of relevant high-tech personnel;immature technology,high cost,etc.The article also proposed that the future of smart orchard technology should be improved.Finally,the future development direction of smart orchard technology is proposed as follows:strengthen the research and development of special sensors in the orchard,build a more advanced agricultural internet of things system;breakthrough in agricultural robotics to create an"unmanned orchard".
关键词
智慧果园/智能装备/物联网系统/无人机/研究现状Key words
smart orchard/intelligent equipment/internet of things system/unmanned aerial vehicle/current research status引用本文复制引用
基金项目
农业农村部园艺作物种质资源利用重点实验室开放课题(NYZS2023006)
国家重点研发计划(2020YFD1000204)
台州市科技局农业科技计划项目(23nya20)
台州科技职业学院2023年度重点培育项目()
出版年
2024
国家科技期刊平台
NSTL
万方数据