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人工智能在现代农业气象领域应用的研究进展

程敬雅 景元书 薛晓萍 张继波 李楠 董智强 张玉双

江西农业学报2024,Vol.36Issue(7):48-54,7.
江西农业学报2024,Vol.36Issue(7):48-54,7.DOI:10.19386/j.cnki.jxnyxb.2024.07.008

人工智能在现代农业气象领域应用的研究进展

Research Progress in Application of Artificial Intelligence in Modern Agrometeorology Field

程敬雅 1景元书 1薛晓萍 2张继波 2李楠 2董智强 2张玉双1

作者信息

  • 1. 气象灾害预报预警与评估协同创新中心,江苏 南京 210044||南京信息工程大学 生态与应用气象学院,江苏 南京 210044
  • 2. 山东省气候中心,山东 济南 250031
  • 折叠

摘要

Abstract

This paper discusses the important role of artificial intelligence in agrometeorology from the limitations of traditional agrometeorology methods,the application of artificial intelligence technology in modern agrometeorology and the specific research progress and cases.In terms of crop yield forecasting,the application of artificial intelligence technology enables farmers to more accurately understand the impact of weather on crops,optimize agricultural management strategies,increase yields and reduce risks.In the forecasting of pests and diseases,real-time forecasting and monitoring can be carried out to provide timely and effective prevention and control strategies for farmers.In agricultural meteorological disaster prediction and early warning,artificial intelligence technology can provide more accurate and reliable meteorological information,so as to reduce the impact of disasters on crops by timely prevention and control.In terms of farmland soil moisture monitoring,it can realize real-time monitoring,accurate prediction and intelligent management of farmland soil moisture.Finally,this paper looks forward to the great potential and opportunities of the application of artificial intelligence technology in agricultural production.

关键词

人工智能/农业气象/监测/模型/应用

Key words

Artificial intelligence/Agrometeorology/Monitoring/Model/Application

分类

农业科技

引用本文复制引用

程敬雅,景元书,薛晓萍,张继波,李楠,董智强,张玉双..人工智能在现代农业气象领域应用的研究进展[J].江西农业学报,2024,36(7):48-54,7.

基金项目

教育部新农科建设项目(2020N0148) (2020N0148)

新一代人工智能国家科技重大专项"基于大数据的产量智能预测与灾损评估"(2022ZD0119503) (2022ZD0119503)

山东省气象局气象科研重点项目(2023sdqxz12) (2023sdqxz12)

南京信息工程大学课程思政项目(2023XKCSZ16). (2023XKCSZ16)

江西农业学报

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1001-8581

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