Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are timeconsuming and labor-consuming, posing grand challenges to apricot resource management....Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are timeconsuming and labor-consuming, posing grand challenges to apricot resource management. Tool development in this regard will help researchers quickly identify variety information. This study photographed apricot fruits outdoors and indoors and constructed a dataset that can precisely classify the fruits using a U-net model (F-score:99%), which helps to obtain the fruit's size, shape, and color features. Meanwhile, a variety search engine was constructed, which can search and identify variety from the database according to the above features. Besides, a mobile and web application (ApricotView) was developed, and the construction mode can be also applied to other varieties of fruit trees.Additionally, we have collected four difficult-to-identify seed datasets and used the VGG16 model for training, with an accuracy of 97%, which provided an important basis for ApricotView. To address the difficulties in data collection bottlenecking apricot phenomics research, we developed the first apricot database platform of its kind (ApricotDIAP, http://apricotdiap.com/) to accumulate, manage, and publicize scientific data of apricot.展开更多
通过分析哈尔滨工业大学图书馆目前在查收查引服务中存在的效率低、重复工作多的现象,考虑建立查收查引数据库平台,将哈尔滨工业大学专家学者基于Web of Science平台和EI等检索系统收录和引用的文献保存在数据库平台上,以方便申报科研...通过分析哈尔滨工业大学图书馆目前在查收查引服务中存在的效率低、重复工作多的现象,考虑建立查收查引数据库平台,将哈尔滨工业大学专家学者基于Web of Science平台和EI等检索系统收录和引用的文献保存在数据库平台上,以方便申报科研项目时能快速准确的提交检索认证报告,从而提高工作效率,减少重复劳动。展开更多
基金supported by the Fundamental Research Funds for the Central Non-profit Research Institution of the Chinese Academy of Forestry (Grant No.CAFYBB2020ZY003)the Key S&T Project of Inner Mongolia (Grant No.2021ZD0041-001-002)the Central Public-interest Scientific Institution Basal Research Fund (Grant No.11024316000202300001)。
文摘Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are timeconsuming and labor-consuming, posing grand challenges to apricot resource management. Tool development in this regard will help researchers quickly identify variety information. This study photographed apricot fruits outdoors and indoors and constructed a dataset that can precisely classify the fruits using a U-net model (F-score:99%), which helps to obtain the fruit's size, shape, and color features. Meanwhile, a variety search engine was constructed, which can search and identify variety from the database according to the above features. Besides, a mobile and web application (ApricotView) was developed, and the construction mode can be also applied to other varieties of fruit trees.Additionally, we have collected four difficult-to-identify seed datasets and used the VGG16 model for training, with an accuracy of 97%, which provided an important basis for ApricotView. To address the difficulties in data collection bottlenecking apricot phenomics research, we developed the first apricot database platform of its kind (ApricotDIAP, http://apricotdiap.com/) to accumulate, manage, and publicize scientific data of apricot.
文摘通过分析哈尔滨工业大学图书馆目前在查收查引服务中存在的效率低、重复工作多的现象,考虑建立查收查引数据库平台,将哈尔滨工业大学专家学者基于Web of Science平台和EI等检索系统收录和引用的文献保存在数据库平台上,以方便申报科研项目时能快速准确的提交检索认证报告,从而提高工作效率,减少重复劳动。