scholarly journals Otobur in Action: Processing of various biodiversity data for botanical gardens; flowering calendar, herbarium digitization, propagation trials and scientific plant names

2019 ◽  
Vol 3 ◽  
Author(s):  
Rasim Aydınkal ◽  
Salih Kanoğlu
Keyword(s):  
Large Scale ◽  
Data Management System ◽  
Data Types ◽  
Phenological Data ◽  
Additional Information ◽  
Germination Success ◽  
High Resolution Images ◽  
Recorded Data ◽  
Annual Estimate ◽  
Biodiversity Information

Over the past decade, great improvements have occurred in the field of biodiversity information technology. Data types such as geographic and phenological (e.g., blooming) characteristics of different specimens, which are used for the analysis of environmental issues, are steadily increasing on a large scale. Most herbaria and botanic gardens are involved in the digital compilations of such kinds of data to be able to transform them into meaningful results that can be used to tackle environmental problems (Leadlay and Greene 1998). These are usually in the form of high resolution images, along with tables displaying additional information about specimens, which are accessible over the internet. This study, will describe how we made an annual estimate of phenological data, constructing a flowering calendar of plants (Fig. 1) in the Nezahat Gökyiğit Botanik Bahçesi (NGBB), using Otobur (Loizeau et al. 2018). Otobur is a data management system developed under NGBB in Istanbul, which is accessible at https://www.otobur.org.tr. In addition to this, we also analyze our recorded data on the ongoing propagation effort of seedlings, in order to analyze and compare their prior germination success and mortality ratios (Fig. 2). This enables us to improve our procedures, and to find the most suitable techniques to apply in the most accurate propagation trials.

scholarly journals EXTRACTION AND ANALYSIS OF MAJOR AUTUMN CROPS IN JINGXIAN COUNTY BASED ON MULTI - TEMPORAL GF - 1 REMOTE SENSING IMAGE AND OBJECT-ORIENTED

2018 ◽  
Vol XLII-3 ◽  
pp. 1473-1480
Author(s):  
B. Ren ◽  
Q. Wen ◽  
H. Zhou ◽  
F. Guan ◽  
L. Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Data Extraction ◽  
Spectral Characteristics ◽  
Object Oriented ◽  
Growth Stages ◽  
Phenological Data ◽  
Crop Monitoring ◽  
Multi Temporal ◽  
High Resolution Images ◽  
Crop Planting

The purpose of this paper is to provide decision support for the adjustment and optimization of crop planting structure in Jingxian County. The object-oriented information extraction method is used to extract corn and cotton from Jingxian County of Hengshui City in Hebei Province, based on multi-period GF-1 16-meter images. The best time of data extraction was screened by analyzing the spectral characteristics of corn and cotton at different growth stages based on multi-period GF-116-meter images, phenological data, and field survey data. The results showed that the total classification accuracy of corn and cotton was up to 95.7 %, the producer accuracy was 96 % and 94 % respectively, and the user precision was 95.05 % and 95.9 % respectively, which satisfied the demand of crop monitoring application. Therefore, combined with multi-period high-resolution images and object-oriented classification can be a good extraction of large-scale distribution of crop information for crop monitoring to provide convenient and effective technical means.

scholarly journals Biological & Geological Collections as a Research Infrastructure: A Dutch case

2019 ◽  
Vol 3 ◽  
Author(s):  
Olaf Banki ◽  
Letty Stupers ◽  
Marijn Prins
Keyword(s):  
The Netherlands ◽  
Natural Science ◽  
Large Scale ◽  
Research Data ◽  
Research Infrastructure ◽  
Data Types ◽  
Digital Collections ◽  
Biodiversity Research ◽  
Research Infrastructures ◽  
Biodiversity Information

Within the Netherlands, large scale digitization efforts of natural science collections have taken place in recent years. This has led to a wealth of digital information on natural science collections. Still, large quantities of collection data remain untapped and undigitized. The usage of all these digital collections data as driver for science and society remains underexplored. Especially important, is the opportunity for such data to be combined and/or enriched with other data types with the aim to empower different user groups. A consortium of Dutch partners has committed themselves in working together to make biological and geological collections into a joint research infrastructure, underpinning other research infrastructures and scientific uses also beyond the biodiversity research domain. This consortium combines the Dutch contribution to the Distributed Systems of Scientific Collections (DiSSCo), LifeWatch, the Catalogue of Life and the Global Biodiversity Information facility, under the coordination of the Netherlands Biodiversity Information Facility. As part of a preparatory project for DiSSCo, funded by the Dutch science council, we connected the different users groups of collection managers (data providers), scientists (end-users), IT-specialists and policymakers. With collection managers we explored how to move towards an overview of all natural science collections in the Netherlands. In addition, we studied to what extent collection holdings of different musea could be combined, managed, and shared into one research infrastructure. Using a research data management cycle perspective, we surveyed and interviewed the Dutch research community for the barriers and opportunities in using natural science collections and related data. The outcomes of the project should lead to the next steps in creating a more comprehensive and inclusive biodiversity research data infrastructure in the Netherlands that interacts seamlessly with existing international research infrastructures, including DiSSCo.

scholarly journals Improved Visual Localization via Graph Filtering

2021 ◽  
Vol 7 (2) ◽  
pp. 20
Author(s):  
Carlos Lassance ◽  
Yasir Latif ◽  
Ravi Garg ◽  
Vincent Gripon ◽  
Ian Reid
Keyword(s):  
Image Retrieval ◽  
Large Scale ◽  
Visual Localization ◽  
Localization Accuracy ◽  
Additional Information ◽  
Feature Representations ◽  
The Mean ◽  
Classical Image ◽  
Vision Based Localization ◽  
Improve Reliability

Vision-based localization is the problem of inferring the pose of the camera given a single image. One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is inferred with the help of the retrieved items. This assumes that images taken from the same places consist of the same landmarks and thus would have similar feature representations. These representations can learn to be robust to different variations in capture conditions like time of the day or weather. In this work, we introduce a framework which aims at enhancing the performance of such retrieval-based localization methods. It consists in taking into account additional information available, such as GPS coordinates or temporal proximity in the acquisition of the images. More precisely, our method consists in constructing a graph based on this additional information that is later used to improve reliability of the retrieval process by filtering the feature representations of support and/or query images. We show that the proposed method is able to significantly improve the localization accuracy on two large scale datasets, as well as the mean average precision in classical image retrieval scenarios.

scholarly journals An Attention-Based Model Using Character Composition of Entities in Chinese Relation Extraction

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 79 ◽  
Author(s):  
Xiaoyu Han ◽  
Yue Zhang ◽  
Wenkai Zhang ◽  
Tinglei Huang
Keyword(s):  
Language Processing ◽  
Large Scale ◽  
Named Entity Recognition ◽  
Relation Extraction ◽  
Entity Recognition ◽  
Additional Information ◽  
Named Entity ◽  
Proposed Model ◽  
The Relationship ◽  
Crucial Part

Relation extraction is a vital task in natural language processing. It aims to identify the relationship between two specified entities in a sentence. Besides information contained in the sentence, additional information about the entities is verified to be helpful in relation extraction. Additional information such as entity type getting by NER (Named Entity Recognition) and description provided by knowledge base both have their limitations. Nevertheless, there exists another way to provide additional information which can overcome these limitations in Chinese relation extraction. As Chinese characters usually have explicit meanings and can carry more information than English letters. We suggest that characters that constitute the entities can provide additional information which is helpful for the relation extraction task, especially in large scale datasets. This assumption has never been verified before. The main obstacle is the lack of large-scale Chinese relation datasets. In this paper, first, we generate a large scale Chinese relation extraction dataset based on a Chinese encyclopedia. Second, we propose an attention-based model using the characters that compose the entities. The result on the generated dataset shows that these characters can provide useful information for the Chinese relation extraction task. By using this information, the attention mechanism we used can recognize the crucial part of the sentence that can express the relation. The proposed model outperforms other baseline models on our Chinese relation extraction dataset.

Toward functional proteomics of alveolar macrophages

2005 ◽  
Vol 288 (4) ◽  
pp. L585-L595 ◽  
Author(s):  
Haifeng M. Wu ◽  
Ming Jin ◽  
Clay B. Marsh
Keyword(s):  
Alveolar Macrophages ◽  
Large Scale ◽  
Cell Types ◽  
Mononuclear Phagocyte ◽  
Detection Sensitivity ◽  
Current Status ◽  
Blood Monocytes ◽  
Protein Patterns ◽  
Additional Information ◽  
The Impact

Alveolar macrophages (AM) belong to a phenotype of macrophages with distinct biological functions and important pathophysiological roles in lung health and disease. The molecular details determining AM differentiation from blood monocytes and AM roles in lung homeostasis are largely unknown. With the use of different technological platforms, advances in the field of proteomics have made it possible to search for differences in protein expression between AM and their precursor monocytes. Proteome features of each cell type provide new clues into understanding mononuclear phagocyte biology. In-depth analyses using subproteomics and subcellular proteomics offer additional information by providing greater protein resolution and detection sensitivity. With the use of proteomic techniques, large-scale mapping of phosphorylation differences between the cell types have become possible. Furthermore, two-dimensional gel proteomics can detect germline protein variants and evaluate the impact of protein polymorphisms on an individual's susceptibility to disease. Finally, surface-enhanced laser desorption and ionization (SELDI) time-of-flight mass spectrometry offers an alternative method to recognizing differences in protein patterns between AM and monocytes or between AM under different pathological conditions. This review details the current status of this field and outlines future directions in functional proteomic analyses of AM and monocytes. Furthermore, this review presents viewpoints of integrating proteomics with translational topics in lung diseases to define the mechanisms of disease and to uncover new diagnostic and therapeutic targets.

scholarly journals Comparison of the Spatial Wind Erosion Patterns of Erosion Risk Mapping and Quantitative Modeling in Eastern Austria

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 974
Author(s):  
Simon Scheper ◽  
Thomas Weninger ◽  
Barbara Kitzler ◽  
Lenka Lackóová ◽  
Wim Cornelis ◽  
...  
Keyword(s):  
Soil Loss ◽  
Wind Erosion ◽  
Large Scale ◽  
Pannonian Basin ◽  
Target Area ◽  
Erosion Risk ◽  
Additional Information ◽  
Weather Factor ◽  
Not At Risk ◽  
Erosion Equation

Various large-scale risk maps show that the eastern part of Austria, in particular the Pannonian Basin, is one of the regions in Europe most vulnerable to wind erosion. However, comprehensive assessments of the severity and the extent of wind erosion risk are still lacking for this region. This study aimed to prove the results of large-scale maps by developing high-resolution maps of wind erosion risk for the target area. For this, we applied a qualitative soil erosion assessment (DIN 19706) with lower data requirements and a more data-demanding revised wind erosion equation (RWEQ) within a GIS application to evaluate the process of assessing wind erosion risk. Both models defined similar risk areas, although the assignment of severity classes differed. Most agricultural fields in the study area were classified as not at risk to wind erosion (DIN 19706), whereas the mean annual soil loss rate modeled by RWEQ was 3.7 t ha−1 yr−1. August was the month with the highest modeled soil loss (average of 0.49 t ha−1 month−1), due to a low percentage of vegetation cover and a relatively high weather factor combining wind speed and soil moisture effects. Based on the results, DIN 19706 is suitable for a general classification of wind erosion-prone areas, while RWEQ can derive additional information such as seasonal distribution and soil loss rates besides the spatial extents of wind erosion.

scholarly journals THE DEVELOPMENT OF INVENTORY, MONITORING AND INFORMATION NETWORKS SYSTEM OF FAUNAL DIVERSITY IN SOUTH SUMATRA

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Indra Yustian ◽  
Arum Setiawan ◽  
Doni Setiawan ◽  
Laila Hanum ◽  
Zulkifli Dahlan
Keyword(s):  
Web Application ◽  
Action Plan ◽  
Conservation Status ◽  
Information Networks ◽  
Data Management System ◽  
Information Network ◽  
International Level ◽  
Deforestation Rate ◽  
Degradation Rates ◽  
Biodiversity Information

Despite high attention and commitment of Indonesia in biodiversity conservation and its habitat, however, loss of biodiversity and habitat deforestation is also still high. Deforestation rate in Indonesia between period of 2000-2012 reach up 6.02 million ha, and approximately onethird of which is in Sumatra Island. As the fulfillment of CBD and Aichi targets, and in line with the mandate of the Law on the Conservation of Natural Resources and Ecosystems and IBSAP (Indonesian Biodiversity Strategy & Action Plan 2015-2020), we try to support the requires data as well as information on the current state of biodiversity. The aims are to develop an inventory system of biodiversity needed to establish baseline data on biodiversity including its conservation status in South Sumatra, develop a biodiversity monitoring system with qualitative parameters that can be used in the determination and monitoring of degradation rates of biodiversity, and the establishment of data management system and information network of fauna biodiversity in South Sumatera so that it can be utilized in monitoring and reporting of biodiversity at regional, national and international level at the international level. We conduct a comprehensive review of methods and techniques of inventory and monitoring of fauna biodiversity, especially those that have been done in the area of South Sumatra Province. We also analysis of data needs and information network of fauna biodiversity in South Sumatra. The results is shows in the web-application database, called the South Sumatran Biodiversity Information Networks, or SSBIN, and could preview at http://ssbin.unsri.ac.id/.Keywords: south sumatra, biodiversity, information, networks, SSBIN.

Sign in / Sign up

Export Citation Format

Share Document