Botanische Jahrbücher für Systematik, Pflanzengeschichte und Pflanzengeographie (1910) (14762884182)

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Botanische Jahrbücher für Systematik, Pflanzengeschichte und Pflanzengeographie (1910) (14762884182)

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Identifier: botanischejahrbu4519engl (find matches)
Title: Botanische Jahrbücher für Systematik, Pflanzengeschichte und Pflanzengeographie
Year: 1881 (1880s)
Authors: Engler, Adolf, 1844-1930
Subjects: Botany Plantengeografie Paleobotanie Taxonomie Pflanzen
Publisher: Stuttgart : Schweizerbart
Contributing Library: University of Illinois Urbana-Champaign
Digitizing Sponsor: University of Illinois Urbana-Champaign



Text Appearing Before Image:
ImssephGt. Verlag von Wilhelm Engelmann in LeipzigPolylepis ochreata (Wedd.) Bitt. Werner niWinten Frankfurl*M
Text Appearing After Image:
BÄbse-pho! Verlag von Wilhelm Engelmann In LeipzigPolylepis hypargyrea Bitt. Werner uiWirüer, Frankfort /M Ènglei : Höh m. ■ Tahrbiich ci : B< i.. KL \ 7h/:\7.

This large AI-assisted collection comprises about 60,000 images of botanical drawings and illustrations. It spans from the 14th to 19th century. As of today, we estimate the total number of botanical illustrations in our archive as 200,000 and growing. The "golden age" of botanical illustration is generally considered to be the 18th and 19th centuries, a time when there was a great deal of interest in botany and a proliferation of botanical illustrations being produced. During this period, many of the great botanical illustrators of the time, such as Maria Sybilla Merian, Pierre-Joseph Redouté, and John James Audubon, were active and produced some of the most iconic and influential botanical illustrations of all time. In addition to being used for scientific purposes, botanical illustrations were also highly prized for their beauty and were often used to decorate homes and other public spaces. Many of the most famous botanical illustrations from this period are still admired and collected today for their beauty and historical significance. All large Picryl collections were made possible with the development of neural image recognition. We made our best to reduce false-positive image recognition to under 5%.

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1910
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University of Illinois Urbana-Champaign
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