Using Images and Optimized Workflow for Automated Data Acquisition of Mexican Plant Specimens at MICH

使用图像和优化的工作流程在 MICH 中自动采集墨西哥植物标本数据

• 批准号: 0968352
• 负责人: James Beach
• 金额: $ 34.44万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968352&HistoricalAwards=false
• 关键词: Using; Images; Optimized; Workflow; Automated

A grant has been awarded to the University of Michigan under the direction of Dr. Inigo Granzow-de la Cerda to use a high throughput method for capturing data from herbarium labels from 100,000 plant specimens in the University of Michigan Herbarium (MICH) that were collected from Mexico and Central America. The collection at MICH is one of the largest in North America for plants from this region. The project will expand upon an earlier project and add to an online catalog for these specimens that can be used by researchers in plant taxonomy and conservation biology worldwide. A key innovation of the work is to use software called HERBIS, which uses optical character recognition (OCR) and natural language processing to automate the extraction of data printed on existing herbarium labels and compile the information into a database. This is one of the first projects to employ HERBIS on a large scale, and a module will be developed for the NSF-sponsored collection software called SPECIFY that will be made available to the community at large. The project leaders at Michigan will collaborate with researchers in Mexico at CONABIO, the federal institution of Mexico charged with studying biodiversity in that country. The interdisciplinary project will employ students in computer science and information science. Undergraduate students in the US and Mexico will be trained in database design and data entry, image capture and processing of textual data, and herbarium management. The project will enhance the biodiversity data for Mexico, in which more than 10% of the world's flowering plant species occur.

在Inigo Granzow-de la塞尔达博士的指导下，密歇根大学获得了一笔赠款，用于使用高通量方法从密歇根大学植物标本馆（MICH）的100，000份植物标本标签中获取数据，这些标本是从墨西哥和中美洲收集的。 密歇根大学的植物收藏是北美地区最大的植物收藏之一。 该项目将在早期项目的基础上进行扩展，并将这些标本添加到一个在线目录中，供全球植物分类学和保护生物学研究人员使用。 这项工作的一个关键创新是使用名为HERBIS的软件，该软件使用光学字符识别（OCR）和自然语言处理来自动提取打印在现有植物标本标签上的数据，并将信息编译到数据库中。 这是首批大规模使用HERBIS的项目之一，将为NSF赞助的收集软件SPECIFY开发一个模块，该软件将向整个社区提供。 密歇根州的项目负责人将与墨西哥CONABIO的研究人员合作，CONABIO是墨西哥负责研究该国生物多样性的联邦机构。 跨学科项目将雇用计算机科学和信息科学的学生。 美国和墨西哥的本科生将接受数据库设计和数据输入、图像捕获和文本数据处理以及标本馆管理方面的培训。 该项目将增强墨西哥的生物多样性数据，世界上10%以上的开花植物物种都分布在墨西哥。