实验大棚蔬菜表型采集分析系统研发  

Development of vegetables phenotype collection and analysis system in experimental greenhouse

作　　者：徐向英[1,2] 汪红江 章永龙 缪旻珉[3] XU Xiangying;WANG Hongjiang;ZHANG Yonglong;MIAO Minmin(Information Engineering College,Yangzhou University,Yangzhou 225000,China;Guangling College of Yangzhou University,Yangzhou 225000,China;College of Horticulture and Landscape Architecture,Yangzhou University,Yangzhou 225009,China)

机构地区：[1]扬州大学信息工程学院,江苏扬州225000 [2]扬州大学广陵学院,江苏扬州225000 [3]扬州大学园艺园林学院,江苏扬州225009

出　　处：《实验技术与管理》2023年第10期166-171,205,共7页Experimental Technology and Management

基　　金：国家自然科学基金项目(32172110);江苏省现代农业职业教育行业指导委员2021年“乡村振兴”专项课题(nyhzwz202101);扬州市市校合作资金项目(YZ2022179);扬州大学广陵学院教改重点课题(JGZD20004);扬州大学交叉学科基金项目(yzuxk202008)。

摘　　要：为提高大棚蔬菜表型采集和分析效率,该文设计了一款适用于实验大棚的蔬菜表型采集装置,并通过物联网技术实现远程检测和表型分析功能。该系统分为表型采集、物联网和表型分析三个子系统:表型采集子系统包括滑轨、摄像头、连接件等装置,用于采集蔬菜表型;物联网子系统由路由器、电机、服务器、移动端APP等构成,用于传输、存储和显示表型数据;表型分析子系统由YOLOv5s目标检测模型及其改进模型组成,具有分析统计功能,可实现蔬菜表型分析。该系统对黄瓜花的分类识别精度达0.84以上,为蔬菜表型采集分析提供了一种便捷的实现方案。In order to improve the efficiency of greenhouse vegetable phenotype collection and analysis,this paper designs a vegetable phenotype collection device suitable for experimental greenhouses,and realizes remote detection and phenotype analysis functions through Internet of Things(IoT)technology.The system is divided into three subsystems:phenotypic collection,IoT and phenotypic analysis.The phenotypic collection subsystem includes slide rails,cameras,connectors and other devices for collecting vegetable phenotypes.The IoT subsystem is composed of routers,motors,servers,mobile APPs,etc.,which are used to transmit,store and display phenotypic data.The phenotypic analysis subsystem is composed of YOLOv5s target detection model and its improved model,which has the function of analysis and statistics,and can realize the phenotypic analysis of vegetables.The system has a classification accuracy of more than 0.84 for cucumber flowers,which provides a convenient implementation scheme for vegetable phenotype collection and analysis.

关 键 词：表型采集 目标检测 YOLO 装置 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] S625.3[自动化与计算机技术—计算机科学与技术]