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中国农学通报

中国农学通报 ›› 2026, Vol. 42 ›› Issue (21): 104-111.doi: 10.11924/j.issn.1000-6850.casb2025-0801

• 农学•农业基础科学 • 上一篇    下一篇

数字赋能烟草农业现代化：中国智慧农业发展路径与智慧烟草策略研究

赵嘉伟1(), 王龙飞2, 宋正雄3, 李沛岩1, 李敬4, 黄治宏1, 姜权1, 李许涛4, 赵浩宾4(), 程仲记4, 任天宝1()   

  1. 1 河南农业大学烟草学院/河南省生物炭研究工程技术中心， 郑州 450002
    2 河南省烟草公司许昌市公司， 河南许昌 461000
    3 河南省烟草公司洛阳市公司， 河南洛阳 471026
    4 河南省烟草公司， 郑州 450016
  • 收稿日期:2025-09-19 修回日期:2026-04-07 出版日期:2026-11-10 发布日期:2026-11-10
  • 通讯作者:
    任天宝，男，1981年出生，河南开封人，硕士生导师，副教授，研究方向：烟草栽培技术工程化。E-mail：；
    赵浩宾，男，1986年出生，河南汝阳人，农艺师，硕士，主要从事烟草生产与管理工作，E-mail：。
  • 作者简介:

    赵嘉伟，男，2001年出生，陕西安康人，硕士研究生，研究方向：智慧烟草农业。通信地址：450046 郑州市郑东新区平安大道218号，E-mail：。

  • 基金资助:
    河南省烟草公司许昌市公司科技项目“烟秆基生物碳基肥创制关键技术研究及工程化开发应用”(2024411000240036); 中国烟草总公司河南省公司科技项目“浓香型特色优质烟叶科技成果的深化研究和应用”(2023410000240024)

Digital Empowerment for Modernization of Tobacco Agriculture: Research on China’s Smart Agriculture Development Path and Smart Tobacco Strategies

ZHAO Jiawei1(), WANG Longfei2, SONG Zhengxiong3, LI Peiyan1, LI Jing4, HUANG Zhihong1, JIANG Quan1, LI Xutao4, ZHAO Haobin4(), CHENG Zhongji4, REN Tianbao1()   

  1. 1 Tobacco College of Henan Agricultural University/Henan Biochar Engineering Technology Center, Zhengzhou 450002
    2 Henan Province Tobacco Company Xuchang City Company, Xuchang, Henan 461000
    3 Henan Province Tobacco Company Luoyang City Company, Luoyang, Henan 471026
    4 Henan Province Tobacco Company, Zhengzhou 450016
  • Received:2025-09-19 Revised:2026-04-07 Published:2026-11-10 Online:2026-11-10

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摘要：

本研究深入探讨了我国智慧农业的演进历程及其对智慧烟草建设的启示，旨在推动烟草产业向全程智能化转型。系统梳理了物联网、多源传感器、无人机等关键技术的融合应用与发展脉络。研究表明，我国智慧农业基础设施建设成效显著，截至2025年6月，农村互联网普及率达69.2%，但仍面临核心传感器感知精度不足、智能决策模型泛化能力弱等瓶颈。随着“弘农”“神农2.0”等农业大模型的广泛应用及智能水肥系统的普及，农业生产力大幅提升。将上述前沿技术迁移至烟草场景成效凸显：利用无人机进行多光谱监测，可将烟田病害防控的响应时间缩短30%以上；智慧烘烤工艺的识别准确率突破90%。据此，本研究构建了涵盖“育苗-大田-烘烤”全生命周期的智慧烟草综合管控平台框架，并配套建立烟叶质量安全追溯体系，以期为现代烟草农业的高质量发展提供理论依据与技术路径。

关键词: 智慧农业, 智慧烟草, 传感器, 大模型

Abstract:

This paper explores the evolution path of smart agriculture in China and its implications for the development of smart tobacco, aiming to advance the full-process intelligent transformation of the tobacco industry. It systematically sorts out the integrated application and development context of key technologies such as the Internet of Things, multi-source sensors and unmanned aerial vehicles (UAVs).The research shows that China has achieved remarkable results in the infrastructure construction of smart agriculture. As of June 2025, the internet penetration rate in rural areas reached 69.2%. Nevertheless, the sector still faced bottlenecks including insufficient detection accuracy of core sensors and poor generalization ability of intelligent decision-making models. With the deployment of agricultural large models such as Hongnong and Shennong 2.0, as well as the popularization of intelligent water and fertilizer systems, agricultural productivity has been greatly improved. The migration of these cutting-edge technologies to tobacco production has delivered prominent outcomes: multi-spectral monitoring via UAVs has cut the response time for tobacco field disease prevention and control by more than 30%, and the recognition accuracy of intelligent curing technology has exceeded 90%.On this basis, this paper constructs a framework for an integrated management and control platform for smart tobacco covering the whole industrial chain of seedling raising, field cultivation and curing, and establishes a supporting traceability system for tobacco leaf quality and safety. It is expected to provide theoretical references and technical approaches for the high-quality development of modern tobacco agriculture.

Key words: smart agriculture, smart tobacco, sensor, large model

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