摘要
为确定生长型、季节和气象条件对植物识别手机应用程序(APP)的识别精度是否存在影响,选取市面上综合评价较高的“百度识图”“植物识别”和“拍照识花”等6款植物识别手机APP,对赣南师范大学及其周边地区的103种植物进行了为期一年的连续实地观测;对同一植物识别手机APP在不同自然条件(4种生长型、4个季节和4种气象条件)下的识别结果进行了两-两间的方差比较分析。结果表明:(1)生长型、季节和气象条件对植物识别手机APP的识别精度均存在影响,但影响程度因植物识别手机APP而不同;(2)生长型和季节对植物识别手机APP的识别精度影响较大,气象条件的影响较小。研究结果能为用户选择和使用植物识别手机APP提供参考,也能为植物识别手机APP的升级提供基础数据。
This paper is to confirm whether growth types,seasons and meteorological conditions have an impact on the identification accuracy of the plant identification mobile phone application(APPs).In this study,firstly,six plant identification mobile phone APPs with high comprehensive evaluation on the market,such as"Baidu-Shitu","Zhiwu-Shibie"and"Paizhao-Shihua",were selected to conduct a one-year field observation on 103 plant species in Gannan Normal University and its surrounding areas;then,pairwise comparison analysis of variance was performed on the identification results of the same plant identification mobile phone APPs under different natural conditions(four growth types,four seasons and four meteorological conditions).The results showed that:①growth types,seasons and meteorological conditions have an impact on the identification accuracy of the plant identification mobile phone APPs,but the influence varies with different plant identification mobile phone APPs;②the growth types and seasons have a remarkable influence on the identification accuracy of the plant identification mobile phone APPs,while the meteorological conditions have unremarkable influence.This research can provide a reference for users to choose and use plant identification mobile phone APPs,and also provide basic data for the upgrade of plant identification mobile phone APPs.
作者
雷军成
陈文娟
陈雅兰
谭瑞
王淼
阙文飘
杨欢
邵雅琪
李安琪
章嘉玲
邵钰珊
王珊
阎琴
Lei Juncheng;Chen Wenjuan;Chen Yalan;Tan Rui;Wang Miao;Que Wenpiao;Yang Huan;Shao Yaqi;Li Anqi;Zhang Jialing;Shao Yushan;Wang Shan;Yan Qin(College of Geography and Environmental Engineering,Gannan Normal University,Ganzhou,Jiangxi 341000,China)
出处
《绿色科技》
2023年第14期252-258,共7页
Journal of Green Science and Technology
基金
江西省教育科学“十四五”规划项目(编号:22YB167)
江西省教育厅科学技术研究项目(编号:GJJ211427)
大学生创新创业训练项目(编号:CX220072)。
关键词
植物识别手机APP
识别精度
自然因素
时间序列
连续观测
方差分析
plant identification mobile phone APPs
identification accuracy
natural factors
time series
continuous observation
analysis of variance
