研究论文

南繁育种基地物联网智慧管理平台设计与应用

  • 李佳乐 ,
  • 赵鸿鑫 ,
  • 林佳 ,
  • 贺子康 ,
  • 许如意 ,
  • 虞国平 ,
  • 周国民 ,
  • 张建华
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  • 1.中国农业科学院国家南繁研究院,海南 三亚 572024
    2.国家农业科学数据中心,北京 100081
    3.中国农业科学院农业信息研究所,北京 100081
    4.三亚市农业农村局,海南 三亚 572000
    5.中国水稻研究所,杭州 310006
    6.中国农业科学院农田灌溉研究所,河南 新乡 410700
李佳乐,E-mail:252211923@qq.com

收稿日期: 2023-11-03

  录用日期: 2023-11-22

  网络出版日期: 2024-01-05

基金资助

国家重点研发计划(2022YFF0711805);国家重点研发计划(2022YFF0711801);国家自然科学基金(31971792);国家自然科学基金(32160421);中国农业科学院创新工程(CAAS-ASTIP-2023-AII);中国农业科学院创新工程(ZDXM23011);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2312);三亚中国农业科学院国家南繁研究院南繁专项(YDLH01);三亚中国农业科学院国家南繁研究院南繁专项(YDLH07);三亚中国农业科学院国家南繁研究院南繁专项(YBXM10);中央级公益性科研院所基本科研业务费专项(JBYW-AII-2023-06);三亚崖州湾科技城科技专项(SCKJ-JYRC-2023-45)

Design and Application of IoT Intelligent Management Platform for Nanfan Breeding Bases

  • JiaLe LI ,
  • HongXin ZHAO ,
  • Jia LIN ,
  • ZiKang HE ,
  • RuYi XU ,
  • GuoPing YU ,
  • GuoMin ZHOU ,
  • JianHua ZHANG
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  • 1. Hainan National Breeding and Multiplication Institute at Sanya, Chinese Academy of Agricultural Sciences, Sanya 572024, Hainan, China
    2. National Agriculture Science Data Center, Beijing 10081, China
    3. Agricultural Information Institute of Chinese Academy of Agricultural Sciences Beijing 10081, China
    4. Sanya Agriculture and Rural Bureau, Sanya 572000, Hainan, China
    5. China National Rice Research Institute, Hangzhou 310006, China
    6. Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang 410700, Henan, China

Received date: 2023-11-03

  Accepted date: 2023-11-22

  Online published: 2024-01-05

摘要

南繁育种基地是我国农业育种的“加速器”,其战略地位十分重要。为了提高南繁育种基地农业数据采集效率、加强农田管理能力、满足大规模作物育种需求,亟需建设基于物联网的基地智慧管理平台。以海南省三亚市坡田洋基地为对象,开发了南繁育种基地物联网智慧管理平台。该平台部署传感器、视频监控、智慧灌溉等设备,开发了作物气象与土壤环境感知、视频监测、虫情监测等五大功能模块,可实时监测田间气象、土壤、虫情、孢子等环境信息以及作物生长状况,实现数据自动采集与智慧精准灌溉。平台的实时感知与智能预警功能,能够实现育种环境的远程监测与调控,为育种家提供智慧决策;通过智慧化获取作物表型信息,为育种家提供大量实验素材,显著提高育种工作的效率与精准度,为大规模田间作物育种提供技术支撑。在未来,依托人工智能、机器人和无人机等现代技术,以作物表型数据智慧化获取代替人工表型测量,以作物加代繁育智慧化管理代替人工管理,以优良品种的智慧化评估与筛选代替经验丰富的育种家,实现南繁育种基地的天空地一体化,助力大规模田间育种的智慧化数字化发展。

本文引用格式

李佳乐 , 赵鸿鑫 , 林佳 , 贺子康 , 许如意 , 虞国平 , 周国民 , 张建华 . 南繁育种基地物联网智慧管理平台设计与应用[J]. 农业大数据学报, 2023 , 5(4) : 37 -46 . DOI: 10.19788/j.issn.2096-6369.230404

Abstract

The Nanfan breeding base is the "gas pedal" of China's agricultural breeding, and its strategic position is very important. In order to improve the efficiency of agricultural data collection at the Nanfan breeding base, strengthen the capacity of farmland management and meet the needs of large-scale crop breeding, there is an urgent need to build an intelligent management platform for bases based on the IoT. Taking the Potianyang base in Sanya City, Hainan Province as an object, an IoT intelligent management platform for the Nanfan breeding bases has been developed. The platform deploys sensors, video monitoring, intelligent irrigation and other equipment, and develops five functional modules, such as crop weather and soil environment sensing, video monitoring, pests monitoring. Real-time monitoring of the field's weather, soil, pests, spores and other environmental information, as well as crop growth conditions can achieve intelligent and precise irrigation. The real-time sensing and intelligent warning function of the platform can realize remote monitoring and regulation of the breeding environment, providing breeders with intelligent decision-making. By intelligently obtaining crop phenotypic information, the platform also provides breeders with a large amount of experimental materials, greatly improving the efficiency and accuracy of breeding work and providing technical support for large-scale field crop breeding. In the future, relying on modern technologies such as artificial intelligence, robots and drones, the intelligent acquisition of crop phenotypic data will replace manual phenotypic measurements, the intelligent management of crop plus generation breeding will replace manual management, and the intelligent evaluation and screening of excellent varieties will replace experienced breeders, which will realize the integration of the sky and land of the Nanfan breeding bases and the intelligent digitalization of large-scale field breeding.

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