在国家政策支持的大背景下，快速发展的信息技术与农业深度融合，物联网、人工智能、云计算、大数据等新技术在农业生产领域均得到了大量应用。经过近十年的发展，形成了农业物联网监测为主、智能诊断为辅的各种农业信息化应平台。这些平台的示范应用促进了传统农业的现代化转变进程，但仍需将功能需求进一步整合完善，以促进农业生产全过程的智能化监控与精细化管理。为提升大田作物生产整体性信息化水平，本研究综合运用农业物联网、智能控制、决策模型、大数据挖掘等信息技术，集成大田作物的物联网环境感知、氮肥决策、农情遥感服务、水氮智能管理、虫害监测预警、产品溯源、农技推广、大数据平台八大业务系统，构建了大田作物智慧生产综合服务平台。该平台的应用示范表明，其信息服务内容丰富，满足了不同用户对农业生产相关数据服务的需求，提升了大田作物生产过程的精准化管理，推动了现代信息技术在大田作物智慧生产中的综合应用水平。

With the support of national policy, agriculture has been integrated with rapidly developing information technology. New technologies such as the Internet of Things, artificial intelligence, cloud computing, and big data have been widely used in the field of agricultural production. After nearly a decade of development, various agricultural informatization application platforms have been formed that focus on Internet-of-Things-based agricultural monitoring supplemented by intelligent analysis. The demonstration of these platforms has promoted the modernization and transformation of traditional agriculture; however, the functional requirements of these platforms still need to be further integrated and improved to facilitate intelligent monitoring and sophisticated management in the overall agricultural production process. To improve the overall level of informatization of field crop production, this paper presents a comprehensive service platform for intelligent crop production in the field using a wide range of information technologies such as the agricultural Internet of Things, intelligent control, decision-making models, and big data mining. It integrates eight major business processes, including Internet-of-Things-based environmental perception, nitrogen fertilizer decision-making, agricultural remote sensing services, the intelligent management of water and nitrogen, pest monitoring and early warning, product traceability, and agricultural technology promotion, and provides a big data platform. The demonstration of the platform shows that its information services are rich in content, which meets the needs of different users for agricultural production-related data services and improves the precise management of the field crop production process. The proposed platform substantially advances the baseline for a comprehensive application for modern information technology in the intelligent production of field crops.