| scholarly article | Q13442814 |
| P50 | author | Elspeth Margaret Haston | Q21515572 |
| Robyn E Drinkwater | Q54660590 | ||
| Robert Cubey | Q59215638 | ||
| P2860 | cites work | A decadal view of biodiversity informatics: challenges and priorities | Q21996359 |
| Five task clusters that enable efficient and effective digitization of biological collections | Q22678827 | ||
| Developing integrated workflows for the digitisation of herbarium specimens using a modular and scalable approach | Q22678843 | ||
| Increasing the efficiency of digitization workflows for herbarium specimens | Q22678850 | ||
| Herbaria are a major frontier for species discovery | Q28300019 | ||
| Ecosystems: Time to model all life on Earth | Q34323013 | ||
| P4510 | describes a project that uses | SQL | Q47607 |
| P433 | issue | 38 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | optical character recognition | Q167555 |
| herbarium specimen | Q61726742 | ||
| P304 | page(s) | 15-30 | |
| P577 | publication date | 2014-05-19 | |
| P1433 | published in | PhytoKeys | Q14537320 |
| P1476 | title | The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels | |
| P478 | volume | 38 |
| Q61660259 | A benchmark dataset of herbarium specimen images with label data |
| Q105964794 | Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1 |
| Q91740760 | Designing an Herbarium Digitisation Workflow with Built-In Image Quality Management |
| Q105964727 | Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections |
| Q56654664 | Using herbaria to study global environmental change |
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