浙江农业科学2024,Vol.65Issue(10) :2495-2501.DOI:10.16178/j.issn.0528-9017.20231035

基于物联网技术的河蟹质量安全数字化控制平台研发

Research and development of river crab quality and safety digital control platform based on internet of things technology

邓浩然 钱蓉 刘桂民 王忠培 周乐乐
浙江农业科学2024,Vol.65Issue(10) :2495-2501.DOI:10.16178/j.issn.0528-9017.20231035

基于物联网技术的河蟹质量安全数字化控制平台研发

Research and development of river crab quality and safety digital control platform based on internet of things technology

邓浩然 1钱蓉 1刘桂民 1王忠培 1周乐乐1
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作者信息

  • 1. 安徽省农业科学院 农业经济与信息研究所,安徽 合肥 241000
  • 折叠

摘要

河蟹产业的质量安全是从"池塘到餐桌"的质量安全,涉及养殖、运输和销售等不同环节,每个环节都存在消费者关心的质量安全问题.运用数字化技术管理各环节关键信息或消费者关注信息,能有效监管河蟹产业发展,也能帮助消除消费者的信任危机.该研究基于物联网技术、二维码技术和 5G 技术,研发河蟹质量安全数字化控制平台,管理苗种、投饵、捕捞、水体水质和健康生态等养殖相关数据,采集捕捞、运输和销售数据,消费者通过扫描二维码,可查看养殖全过程数据、运输和销售等信息,并实时监督养殖环境,增强消费者的消费信心.

Abstract

The quality and safety of the river crab industry is the quality and safety of"pond to table",involving different links such as breeding,transportation and sales,and each link has quality and safety issues that consumers care about.The use of digital technology to manage key information or consumer concerns in each link can effectively supervise the development of the river crab industry and help eliminate the crisis of consumer trust.Based on the internet of things technology,two dimensional bar code technology and 5G technology,this study develops a digital control platform for the quality and safety of river crabs.The platform can manage aquaculture-related data such as carblet management,baiting,fishing,water quality and healthy ecology,as well as collect fishing,transportation and marketing data,consumers can view the whole process of aquaculture,transportation and sales information by scanning the two dimensional bar code,and supervise the breeding environment in real time to enhance consumer confidence.

关键词

物联网技术/河蟹/质量安全/二维码/平台研发

Key words

internet of things technology/crab/quality and safety/two dimensional bar code/platform development

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基金项目

安徽省农业科学院科研计划项目(2023YL014)

安徽省财政农业科技成果转化项目(2022ZH008)

出版年

2024
浙江农业科学
浙江省农业科学院,浙江大学

浙江农业科学

影响因子:0.523
ISSN:0528-9017
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