| taoanan.象山柑橘全产业链数智化平台构建及应用成效[J].中国南方果树,2026,55(4):246-254 |
| 象山柑橘全产业链数智化平台构建及应用成效 |
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| 投稿时间：2026-04-29 修订日期：2026-07-18 |
| DOI： |
| 中文关键词: 象山柑橘 智慧农业 全产业链数智化 数字化转型 数字化应用 |
| 英文关键词: |
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| 摘要点击次数: 9 |
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| 中文摘要: |
| 在乡村振兴与农业数字化转型背景下，如何系统性推进特色农业全产业链的智能化升级，是当前农业高质量发展面临的重要课题。本文以浙江省象山县柑橘产业为典型案例，系统剖析了县域特色农业全产业链数智化转型的痛点与需求，阐明了产业挑战与数智化建设的内在逻辑关联，探究了全产业链数智化平台的构建路径与实践成效。本研究构建了一套以“1111+N”为架构的全产业链数智化平台，该平台集成产业驾驶舱、全产业链数据库、GIS空间图层、能力中心及种苗溯源、果品溯源、长效种植模型、病虫害智能识别、移动服务等核心功能模块，实现了种植、加工、流通、品牌与服务各环节的业务协同与数据贯通。实践结果表明，该平台有效解决了象山柑橘产业种源管理不规范、生产过程粗放、品质追溯困难、产销协同不足等核心问题，2024年带动全县柑橘亩均收入增加6200元，全产业链产值同比增长17%。本研究为我国县域特色农业全产业链数智化转型提供了可复制、可落地的工程解决方案，也为智慧农业背景下的产业协同治理理论提供了实证支撑。 |
| 英文摘要: |
| Against the backdrop of rural revitalization and the digital transformation of agriculture, how to systematically advance the intelligent upgrading of the entire industrial chain of characteristic agriculture has emerged as a critical issue confronting the high-quality development of contemporary agriculture. Taking the citrus industry in Xiangshan County, Zhejiang Province as a typical case, this paper systematically analyzes the pain points and demands of digital-intelligent transformation across the entire industrial chain of county-level characteristic agriculture, clarifies the inherent logical relationship between industrial challenges and digital-intelligent construction, and explores the construction path and practical effects of a digital-intelligent platform for the entire industrial chain. This study constructs a full-industrial-chain digital-intelligent platform based on the "1111+N" architecture. The platform integrates core functional modules including an industrial cockpit, a full-industrial-chain database, GIS spatial layers, a capability center, as well as seedling traceability, fruit traceability, long-term planting modeling, intelligent pest and disease identification, and mobile services, enabling seamless business collaboration and data integration across all links of planting, processing, distribution, branding, and services. Empirical results demonstrate that the platform has effectively addressed the core challenges of the Xiangshan citrus industry, including non-standard seed source management, extensive production processes, difficult quality traceability, and inadequate production-marketing coordination. In 2024, it drove an increase of 6,200 yuan in the average per-mu income of citrus in the county, and the output value of the entire industrial chain achieved a year-on-year growth of 17%. This research provides a replicable and implementable engineering solution for the digital-intelligent transformation of the entire industrial chain of county-level characteristic agriculture in China, and also offers empirical support for the theory of industrial collaborative governance in the context of smart agriculture. |
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