Article(id=1324333606675554800, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, articleNumber=null, orderNo=null, doi=10.12398/j.issn.2096-7217.2026.01.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1731254400000, receivedDateStr=2024-11-11, revisedDate=1748448000000, revisedDateStr=2025-05-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1793675336760, onlineDateStr=2026-11-03, pubDate=1771084800000, pubDateStr=2026-02-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793675336760, onlineIssueDateStr=2026-11-03, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793675336760, creator=13701087609, updateTime=1793675336760, updator=13701087609, issue=Issue{id=1324333573712511176, tenantId=1146029695717560320, journalId=1319690209941618849, year='2026', volume='7', issue='1', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='1771084800000', pubDateStr='2026-02-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793675328901, creator='13701087609', updateTime=1793872389599, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1325160106287039215, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1325160106287039216, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=145, endPage=150, ext={EN=ArticleExt(id=1324333606881075697, articleId=1324333606675554800, tenantId=1146029695717560320, journalId=1319690209941618849, language=EN, title=Research on the construction of an integrated intelligent management and control platform for high water efficiency agriculture with “Sky-Air-Ground” observation, columnId=null, journalTitle=Journal of Intelligent Agricultural Mechanization, columnName=null, runingTitle=null, highlight=null, articleAbstract=

A large amount of research has been conducted on the data base, quantitative models, intelligent decision-making, and digital scenarios of high water efficiency agriculture both domestically and internationally. Multiple crop high water efficiency universal models and platforms have been developed internationally, but this aspect is still blank in China. This article summarizes and analyzes the research status of management decision-making platforms related to agricultural water use in China. It points out the limitations of the current construction of agricultural water management platforms from the aspects of platform functions and data models, and proposes a preliminary plan and overall architecture for building a “Sky-Air-Ground” integrated high water efficiency intelligent control platform. Addressing the issues of weak digital scenarios and low automation levels in irrigation district information management platforms, this study develops modular integration technology for data, models, algorithms, and simulation engines. It also develops a standardized and regulated intelligent decision-making knowledge base for high-efficiency agriculture, aiming to solve key technologies for the digital mapping, intelligent simulation, and construction of specialized digital scenarios for key production factors in high-efficiency agriculture. The goal is to achieve synchronous simulation operation, virtual-real interaction, and iterative optimization with physical irrigation districts, enabling managers to intelligently simulate, refine, and scientifically manage crop irrigation water needs and optimize regional water resource allocation, thereby promoting intelligent management and sustainable development of agriculture.

, authors=Xiaotao ZHANG^{1, 2}, Baozhong ZHANG^{1, 2}, Zheng WEI^{1, 2}, Zhigong PENG^{1, 2}, authorsList=Xiaotao ZHANG, Baozhong ZHANG, Zheng WEI, Zhigong PENG, authorCompany=null, correspAuthors=Baozhong ZHANG, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324333607111762418, articleId=1324333606675554800, tenantId=1146029695717560320, journalId=1319690209941618849, language=CN, title=“天—空—地”一体化高水效农业智能管控平台建设研究, columnId=0, journalTitle=智能化农业装备学报（中英文）, columnName=, runingTitle=null, highlight=null, articleAbstract=

利用物联网、大数据、云计算等先进信息技术，对农业用水过程进行多源感知、智能决策和智慧控制，同步监测分析农作物生长状态、生长环境和所需各类资源，进而助力管理人员实现作物灌溉需水和区域水资源优化配置的智慧化模拟、精细化管理与科学化决策。实现农业用水全面、精准、高效的管控，将极大提高农业灌溉用水效率。国内外在高水效农业的数据底板、量化模型、智能决策以及数字场景方面开展了大量研究。国际上已研发多个作物高水效通用模型与平台，但我国在该方面的研究仍为空白。本研究总结并分析我国农业用水相关管理决策平台的研究现状，从平台功能、数据模型等方面指出当前农业用水管理平台建设存在的局限性，并提出建设“天—空—地”一体化高水效农业用水智能管控平台的初步方案及整体架构。针对灌区信息化管理平台数字化场景弱、自动化程度偏低的问题，研发数据、模型、算法与仿真引擎技术的模块化融合技术，拟解决高水效农业关键生产要素的数字化映射、智能化模拟及专题数字化场景搭建的关键技术，实现平台与物理灌区的同步仿真运行、虚实交互、迭代优化，助力推动农业智能化管理和可持续发展。

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ZHANG Xiaotao, E-mail: zhangxt@iwhr.com

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张晓涛，女，1980年生，山西汾阳人，博士，高级工程师；研究方向为农业用水理论。E-mail：zhangxt@iwhr.com

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张晓涛，女，1980年生，山西汾阳人，博士，高级工程师；研究方向为农业用水理论。E-mail：zhangxt@iwhr.com

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