智慧农业（中英文）2025，Vol.7Issue(2)：1-12,12.DOI:10.12133/j.smartag.SA202409014
粮食生产大数据平台研究进展与展望
Grain Production Big Data Platform:Progress and Prospects
摘要
Abstract
[Significance]The explosive development of agricultural big data has accelerated agricultural production into a new era of digitalization and intelligentialize.Agricultural big data is the core element to promote agricultural modernization and the foundation of intelligent agriculture.As a new productive forces,big data enhances the comprehensive intelligent management decision-making during the whole process of grain production.But it faces the problems such as the indistinct management mechanism of grain produc-tion big data resources,the lack of the full-chain decision-making algorithm system and big data platform for the whole process and full elements of grain production.[Progress]Grain production big data platform is a comprehensive service platform that uses modern information technologies such as big data,Internet of Things(IoT),remote sensing and cloud computing to provide intelligent deci-sion-making support for the whole process of grain production based on intelligent algorithms for data collection,processing,analysis and monitoring related to grain production.In this paper,the progress and challenges in grain production big data,monitoring and de-cision-making algorithms are reviewed,as well as big data platforms in China and worldwide.With the development of the IoT and high-resolution multi-modal remote sensing technology,the massive agricultural big data generated by the"Space-Air-Ground"Inte-grated Agricultural Monitoring System,has laid an important foundation for smart agriculture and promoted the shift of smart agricul-ture from model-driven to data-driven.However,there are still some issues in field management decision-making,such as the require-ments for high spatio-temporal resolution and timeliness of the information are difficult to meet,and the algorithm migration and lo-calization methods based on big data need to be studied.In addition,the agricultural machinery operation and spatio-temporal schedul-ing algorithm based on remote sensing and IoT monitoring information to determine the appropriate operation time window and opera-tion prescription,needs to be further developed,especially the cross-regional scheduling algorithm of agricultural machinery for sum-mer harvest in China.Aiming to address the issues of non-bi-connected monitoring and decision-making algorithms in grain produc-tion,as well as the insufficient integration of agricultural machinery and information perception,a framework for the grain production big data intelligent platform based on digital twins is proposed.The platform leverages multi-source heterogeneous grain production big data and integrates a full-chain suit of standardized algorithms,including data acquisition,information extraction,knowledge map construction,intelligent decision-making,full-chain collaboration of agricultural machinery operations.It covers the typical applica-tion scenarios such as irrigation,fertilization,pests and disease management,emergency response to drought and flood disaster,all en-abled by digital twins technology.[Conclusions and Prospects]The suggestions and trends for development of grain production big data platform are summarized in three aspects:(1)Creating an open,symbiotic grain production big data platform,with core characteristics such as open interface for crop and environmental sensors,maturity grading and a cloud-native packaging mechanism for core algo-rithms,highly efficient response to data and decision services;(2)Focusing on the typical application scenarios of grain production,take the exploration of technology integration and bi-directional connectivity as the base,and the intelligent service as the soul of the development path for the big data platform research;(3)The data-algorithm-service self-organizing regulation mechanism,the integra-tion of decision-making information with the intelligent equipment operation,and the standardized,compatible and open service capa-bilities,can form the new quality productivity to ensure food safety,and green efficiency grain production.关键词
粮食生产/大数据平台/农情监测/智能算法/决策支持/新质生产力Key words
grain production/big data platform/agricultural condition monitoring/intelligent algorithm/decision support/new quality productivity分类
农业科学引用本文复制引用
杨贵军,孙亮,陈雷,周清波,郝星耀,郭威,王培,高美玲,赵春江,杨小冬,杨浩,胡海棠,龙慧灵,裘正军,李娴,江冲亚..粮食生产大数据平台研究进展与展望[J].智慧农业（中英文）,2025,7(2):1-12,12.基金项目
"十四五"国家重点研发计划项目(2023YFD2000100) The National Key Research and Development Program of China(2023YFD2000100) （2023YFD2000100）
