U.S.-Hungary Research on Morphometric System for Seed Classification and Identification

美国-匈牙利关于种子分类和识别的形态测量系统的研究

• 批准号: 9515496
• 负责人: Irwin Rovner
• 金额: $ 1.33万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-15 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9515496&HistoricalAwards=false
• 关键词: U.S.; Hungary; Research; Morphometric; System

INT 9515496 Rovner This U.S.-Hungary cooperative project between Dr. Irwin Rovner of North Carolina State University and Dr. Ferenc Gyulai of the Hungarian Institute of Archaeology will lay groundwork for an atuomated, morphometric seed atlas featuring seeds of Europe. The primary quantitative parameters of morphometry employed by the researchers will include measurements of several shape factors, topographical features, and size measurement. The intent is to produce a reference with greater precision than available in conventional sources. This morphometric analysis of European seed populations will employ an interactive, computer assisted image analysis system which possesses capabilities for classification and identification. Initial efforts for the atlas will draw upon a major seed reference collection from the Hungarian Museum of Agriculture that represents between 15,000 and 20,000 taxa. The collection includes modern seed populations as well as many archaeological seed collections derived from sites encompassing a seven-to-eight thousand year sequence from Neolithic through Medieval periods. These Hungarian collections will be transferred for computer image analysis to North Carolina State University where additional controlled studies of factors affecting seed morphology will be conducted. In addition to the benefit of access to an automated reference for the extensive European collection, results are expected to produce a reference tool that may be broadly used for seed identification and analysis in many areas of basic research as well as environmental and commercial applications. This project in systematic plant biology fulfills the program objective of advancing scientific knowledge by enabling experts in the United States and Eastern Europe to combine complementary talents and share research resources in areas of strong mutual interest and competence. ??

INT 9515496 Rovner 这个美国-州立大学北卡罗来纳州的欧文罗夫纳博士和匈牙利考古研究所的费伦茨久莱博士之间的匈牙利合作项目将为一个以欧洲种子为特色的自动化、形态测量种子地图集奠定基础。 研究人员采用的形态测量学的主要定量参数将包括几个形状因子，地形特征和尺寸测量的测量。其目的是提供比传统来源更精确的参考资料。 欧洲种子种群的形态计量分析将采用一种交互式计算机辅助图像分析系统，该系统具有分类和识别能力。 地图集的初步工作将利用匈牙利农业博物馆的一个主要种子参考收藏，其中包括15 000至20 000个分类群。 该系列包括现代种子种群以及许多考古种子收藏品，这些种子收藏品来自新石器时代到中世纪时期的七到八千年序列。 这些匈牙利收集将被转移到北卡罗来纳州州立大学进行计算机图像分析，在那里将进行影响种子形态因素的额外对照研究。 除了获得广泛的欧洲收藏的自动参考的好处，结果预计将产生一个参考工具，可广泛用于种子识别和分析，在许多领域的基础研究以及环境和商业应用。 该系统植物生物学项目通过使美国和东欧的专家能够联合收割机互补人才并在相互感兴趣和有能力的领域共享研究资源，实现了推进科学知识的计划目标。 ??