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莫小香,覃泽林,柴秀娟,吴赛赛,李敏,阮晓静,黄其椿,曾志康.广西柑橘智慧果园信息平台设计与应用[J].中国南方果树,2025,54(2):
广西柑橘智慧果园信息平台设计与应用
Design and application of Guangxi citrus intelligent orchard information platform
投稿时间:2024-08-15  修订日期:2024-11-13
DOI:
中文关键词:  广西柑橘  智慧果园  信息平台  农业数字化  数据集成
英文关键词:Guangxi citrus  intelligent orchard  information platform  agricultural digitization  data integration
基金项目:广西科技重大专项“广西柑橘数字化果园关键技术研究与应用示范”(桂科 AA22036002)、广西农业科学院基本科研业务专项资助项目(桂农科2021YT084)
作者单位E-mail
莫小香 广西壮族自治区农业科学院 1990718512@qq.com 
覃泽林 广西壮族自治区农业科学院 83268281@qq.com 
柴秀娟 中国农业科学院农业信息研究所 59898701@qq.com 
吴赛赛 广西壮族自治区农业科学院 wusaisai0324@163.com 
李敏 广西壮族自治区农业科学院 383293935@qq.com 
阮晓静 广西壮族自治区农业科学院 2684450009@qq.com 
黄其椿 广西壮族自治区农业科学院 hqchun1288@163.com 
曾志康* 广西壮族自治区农业科学院 zengzkang@126.com 
摘要点击次数: 1030
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中文摘要:
      针对柑橘大数据分散于产业链中不同应用场景,信息孤岛现象显著且阻碍资源信息共享与利用等问题,本文设计并应用广西柑橘智慧果园信息平台(以下简称“平台”)。平台通过整合产业链各环节的多源异构海量数据,融合种植适宜性评价、水肥智慧灌溉、目标检测、姿态估计、关键点检测、自动测产、品质自动分级等关键技术,集成智慧耕地、智慧灌溉、智能采摘与品质分级及全产业链信息管理等一系列子系统,实现果园从产前规划至产后追溯的全链条数字化应用。进一步地,平台深度挖掘并充分利用长期积累的数据资源,构建多维度数据模型体系,广泛覆盖地块属性与生产关联、水肥营养调控、果实品质预测、历史产量分析及病虫害预警等。平台显著增强果园全生命周期的信息感知与分析能力,为规范化生产流程提供数据驱动的决策依据,加强对自然灾害的预警与应对策略,同时在果园管理决策中展现出实际效用,推动产业链上下游的协同合作,为广西柑橘产业的数字化转型提供创新思路与实践案例。
英文摘要:
      Aiming at the problem that the big data of citrus scattered in different application scenarios of industrial chain, induced the phenomenon of information isolated island and obstruction to sharing and utilization of resource information, this paper designed and applied the Guangxi citrus intelligent orchard information platform. The Platform integrated a series of subsystems such as intelligent cultivated land, intelligent irrigation, intelligent picking and quality grading, and information management of the whole industrial chain by integrating multi-source heterogeneous massive data of each link of the industrial chain, integrating key technologies such as planting suitability evaluation, water and fertilizer intelligent irrigation, target detection, attitude estimation, key-point detection, automatic yield measurement, and automatic quality grading, so as to realize the whole industrial chain digital application of the orchard from preproduction planning to after production traceability. Furthermore, the Platform excavated deeply and made full use of the long-term accumulated data resources, and constructed a multi-dimensional data model system, which widely covered the correlation between plot attributes and production, water and fertilizer nutrition regulation, fruit quality prediction, historical yield analysis, diseases and pests warning. The Platform significantly enhanced the information perception and analysis ability of the whole life cycle of the orchard, provided a data-driven decision-making basis for the standardized production process, and strengthened the early warning and response strategies for natural disasters. At the same time, it shows the actual utility in the orchard management decision-making, promotes the cooperation between the upstream and downstream of the industrial chain, and provides innovative ideas and practical cases for the digital transformation of the citrus industry in Guangxi.
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