Analysis of High-throughput Plant Image Data with the Information System IAP

机译：利用信息系统IAP分析高通量植物图像数据

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This work presents a sophisticated information system, the Integrated Analysis Platform (IAP), an approach supporting large-scale image analysis for different species and imaging systems. In its current form, IAP supports the investigation of Maize, Barley and Arabidopsis plants based on images obtained in different spectra. Several components of the IAP system, which are described in this work, cover the complete end-to-end pipeline, starting with the image transfer from the imaging infrastructure, (grid distributed) image analysis, data management for raw data and analysis results, to the automated generation of experiment reports.

机译：这项工作提出了一个复杂的信息系统，即综合分析平台（IAP），该方法支持对不同物种和成像系统进行大规模图像分析。 IAP以其当前形式，根据在不同光谱中获得的图像，支持对玉米，大麦和拟南芥植物的研究。本工作中描述的IAP系统的几个组成部分涵盖了完整的端到端管道，从成像基础架构中的图像传输，（网格分布式）图像分析，原始数据和分析结果的数据管理，自动生成实验报告。

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《International symposium on integrative bioinformatics, 8th annual meeting》|2012年|108-110|共3页
会议地点 Hangzhou(CN)
作者
Christian Klukas; Jean-Michel Pape; Alexander Entzian;
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作者单位

Research Group Image Analysis,Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany;

Research Group Image Analysis,Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany;

Research Group Image Analysis,Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany;

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原文格式 PDF
正文语种 eng
中图分类生物信息论;
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1. Analysis of high-throughput plant image data with the information system IAP [J] . Christian Klukas, Jean-Michel Pape, Alexander Entzian Journal of Integrative Bioinformatics . 2012,第2期

机译：使用信息系统IAP分析高通量植物图像数据
2. Modeling the geographic spread and proliferation of invasive alien plants (IAPs) into new ecosystems using multi-source data and multiple predictive models in the Heuningnes catchment, South Africa [J] . Mtengwana Bhongolethu, Dube Timothy, Mudereri Bester Tawona, GIScience & remote sensing . 2021,第3a4期

机译：使用多源数据和南非海宁恩斯集水区的多源数据和多种预测模型将侵入式外星植物（IAP）的地理蔓延和扩散建模为新的生态系统
3. Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform [J] . Asaari Mohd Shahrimie Mohd, Mertens Stien, Dhondt Stijn, Computers and Electronics in Agriculture . 2019,第期

机译：高吞吐量表型平台中玉米植物干旱胁迫检测的高光谱图像分析
4. Analysis of High-throughput Plant Image Data with the Information System IAP [C] . Christian Klukas, Jean-Michel Pape, Alexander Entzian International symposium on integrative bioinformatics . 2012

机译：用信息系统IAP分析高吞吐量图像数据
5. Analysis of High-Throughput Plant Phenotyping: From Images to Numbers to Statistical Analysis [D] . Wang, Ronghao. 2021

机译：高通量植物表型分析：从图像到数字到统计分析
6. An automated high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis [O] . Unseok Lee, Sungyul Chang, Gian Anantrio Putra, -1

机译：使用基于机器学习的植物分割和图像分析的自动化高通量植物表型系统
7. Analysis of high-throughput plant image data with the information system IAP [O] . Klukas Christian, Pape Jean-Michel, Entzian Alexander 2012

机译：使用信息系统IAP分析高通量植物图像数据

Analysis of High-throughput Plant Image Data with the Information System IAP

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