基于图像识别技术的北京市设施温室动态监测研究

Dynamic Monitoring of Facility Greenhouse in Beijing City Based on Image Recognition Technology

为精准掌握北京市设施蔬菜种植情况和产能情况,深入挖掘“数字菜田项目”采集的5 000个设施温室数据价值,开展基于物联网技术和图像识别技术的设施生产状态和作物品种识别研究,构建设施温室生产状态识别模型和作物品种识别模型,并集成到北京市种植业综合管理平台,构建监管设施农业应用场景,从而为政府提供精准、高效的集中监管、远程指挥和决策支持,以北京市设施蔬菜发展推动农业产业振兴、乡村振兴。

In order to accurately grasp planting and production capacity of facility vegetables in Beijing City,and to deeply explore value of 5000facility greenhouse data collected by the"digital vegetable field project",research on facility production status and crop variety recognition based on internet of things technology and image recognition technology was carried out.A facility greenhouse pro-duction status recognition model and a crop variety recognition model was constructed,which have been integrated into Beijing crop in-dustry comprehensive management platform,and thus a regulatory facility agriculture application scenario was constructed,so as to provide precise and efficient centralized supervision,remote command,and decision-making support for government,and promote re-vitalization of agricultural industry and rural areas through development of facility vegetables in Beijing City.