新疆农业科学 ›› 2025, Vol. 62 ›› Issue (S1): 12-16.DOI: 10.6048/j.issn.1001-4330.2025.S1.003

• 作物专栏 • 上一篇    下一篇

新疆棉花智慧生产发展的现状及对策分析

依尔夏提·阿不来提(), 郑子漂, 王亮, 张娜, 李杰, 刘佳, 吕晴晴, 梁福斌, 房彦飞, 崔建平, 林涛, 郭仁松, 田立文, 徐海江(), 张鹏忠()   

  1. 新疆维吾尔自治区农业科学院棉花研究所/国家棉花工程技术研究中心, 乌鲁木齐 830091
  • 收稿日期:2025-06-20 出版日期:2025-10-10 发布日期:2025-10-29
  • 通信作者: 张鹏忠(1974 -),男,甘肃白银人,研究员,研究方向为棉花高产栽培和产业化,(E-mail)zhangpzgm@126.com;
    徐海江(1977-),男,新疆和硕人,研究员,硕士,硕士生导师,研究方向为棉花遗传育种与高效栽培,(E-mail)xhj863@163.com
  • 作者简介:依尔夏提·阿不来提(1994 - ),男,新疆库车人,博士,研究方向为棉田农情遥感监测,(E-mail)13201349501@163.com
  • 基金资助:
    新疆维吾尔自治区农业科学院稳定支持项目(xjnkywdzc-2024001-05-0104);新疆维吾尔自治区农业科学院农业科技创新稳定支持项目“数字棉花关键技术创新与示范”(xjnkywdzc-2023007-6);国家棉花产业技术体系土壤管理岗位(CARS-15-12);新疆维吾尔自治区农业科学院青年理论学习小组调研项目

Sustainable smart cotton production in Xinjiang: current practices and future pathways

Yierxiati Abulaiti(), ZHENG Zipiao, WANG Liang, ZHANG Na, LI Jie, LIU Jia, LYU Qingqing, LIANG Fubin, FANG Yanfei, CUI Jianping, LIN Tao, GUO Rensong, TIAN Liwen, XU Haijiang(), ZHANG Pengzhong()   

  1. Cotton Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/National Cotton Engineering Technology Research center, Urumqi 830091, China
  • Received:2025-06-20 Published:2025-10-10 Online:2025-10-29
  • Correspondence author: XU Haijiang (1977-), male, from Heshuo, Xinjiang, researcher, M.S., master's supervisor.research direction: cotton genetics, breeding, and high-efficiency cultivation,(E-mail)xhj863@163.com
  • Supported by:
    Stable Support Project of the Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences(xjnkywdzc-2024001-05-0104);Agricultural Science and Technology Innovation Stable Support Project of the Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences: "Key Technology Innovation and Demonstration of Digital Cotton"(xjnkywdzc-2023007-6);National Cotton Industry Technology System - Soil Management Position(CARS-15-12);Research Project of the Youth Theoretical Study Group of the Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences

摘要:

【目的】 在农业信息化深度融合的背景下,推动智慧化生产是新疆棉花产业转型升级的核心路径。系统分析智慧农业技术在新疆棉花生产中的应用现状及存在问题,并提出针对性对策,为提升我国棉花产业国际竞争力提供理论依据与实践参考。【方法】 基于系统分析方法,首先构建智慧农业技术体系的理论框架,进而全面评述其在新疆棉花生产中的实践应用现状。通过整合多学科研究成果与典型实践案例,深入剖析当前面临的主要制约因素。【结果】 新疆部分大型农场采用北斗导航播种后,单位面积用种量显著减少,且出苗整齐,为棉花高产奠定基础。新疆棉花智慧化生产仍存在关键技术瓶颈、生产成本约束及产业链协同不足等问题,制约了产业的进一步发展。【结论】 从技术创新驱动、政策支持体系、产业生态协同三个维度提出系统性优化方案,以促进新疆棉花产业向高效化、智慧化和可持续化方向发展,

关键词: 棉花; 生产; 智慧农业

Abstract:

【Objective】 As a vital cotton production base in China, Xinjiang plays a strategic role in ensuring national cotton supply security and promoting sustainable regional economic development.Against the backdrop of deep integration of agricultural informatization, promoting smart production has become the core pathway for transforming and upgrading Xinjiang's cotton industry.This study aims to systematically analyze the application status and existing challenges of smart agriculture technologies in Xinjiang's cotton production and propose optimization strategies. 【Methods】 Based on a systematic analysis approach, this study first constructs a theoretical framework for smart agriculture technology systems and then comprehensively reviews its practical applications in Xinjiang's cotton production.By integrating multidisciplinary research findings and typical case studies, the study thoroughly examines the key constraints currently faced. 【Results】 The research reveals that smart cotton production in Xinjiang still faces challenges such as critical technological bottlenecks, production cost constraints, and insufficient industrial chain coordination, which hinder further development of the industry. 【Conclusion】 To address these issues, this study proposes systematic optimization strategies from three dimensions: technology innovation-driven solutions, policy support mechanisms, and industrial ecosystem collaboration.These strategies aim to promote the efficient, smart, and sustainable development of Xinjiang's cotton industry, providing theoretical and practical references for enhancing the international competitiveness of China's cotton sector.

Key words: cotton; production; smart agriculture

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

出版单位:《新疆农业科学》编辑部
地址:乌鲁木齐市南昌路403号新疆农业科学院
邮编:830091
电话:0991-4502046
E-mail:xjnykx-h@xaas.ac.cn


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