农业展望2025，Vol.21Issue(3)：50-60,11.
农业大数据应用与粮食安全:应用情景、现实短板及优化路径
Application of Big Data in Agriculture and Food Security:Current Applications,Realistic Shortcomings,and Optimization Path
摘要
Abstract
Agricultural big data is an important support for ensuring national food security.This article systematically combed through the application scenarios of agricultural big data in the field of food security,identified its practical shortcomings in actual applications,and proposed targeted optimization paths.The research showed that agricultural big data has achieved remarkable results in aspects such as refined planting,pest and disease management,meteorological prediction,intelligent agricultural machinery,and market price monitoring.However,the application of agricultural big data in the field of food security still has many deficiencies in three aspects:technology,data,and implementation,which restricts big data from making greater contributions in the field of food security.On this basis,targeted suggestions were put forward to promote the deep integration and development of agricultural big data in the field of food security and to consolidate the scientific and technological support for food security.关键词
农业大数据/粮食安全/智慧农业Key words
agricultural big data/food security/smart agriculture引用本文复制引用
钱龙,寇双慧..农业大数据应用与粮食安全:应用情景、现实短板及优化路径[J].农业展望,2025,21(3):50-60,11.基金项目
国家自然科学基金(72273061) （72273061）
全国粮食和物资储备青年拔尖人才服务行业需求自主选题项目 （）
江苏高校"青蓝工程"青年骨干教师项目 （）
