Abbildungen aller medizinisch-ökonomisch-technischen Gewächse, Band 8: Pinus Cembra.

Im achtzehnten Jahrhundert begann sich mit den Fortschritten bei den Druckverfahren ein Beruf des botanischen Illustrators zu entwickeln. Botanische Illustrationen wurden in Farbe und Detail akkurat. Amateurbotaniker, Gärtner und Naturhistoriker boten einen Markt für botanische Veröffentlichungen. Das fotografische Verfahren hat botanische Illustrationen nicht obsolet gemacht, da Illustratoren in der Lage waren, Genauigkeit, ein idealisiertes Bild aus mehreren Exemplaren und die Einbeziehung von Gesicht und Rückseite der Merkmale wie Blätter mit Details in vergrößertem Maßstab zu kombinieren.

Images of all medical-economic-technological plants with a description of their use and benefits. Abbildungen aller medizinisch-ökonomisch-technologischen Gewächse mit der Beschreibung ihres Gebrauches und Nutzens. Icones plantarum medico-oeconomico-technologicarum cum earum fructus ususque descriptione.

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%.

• 43 Pinus Image: PICRYL Public Domain Search} - Collections