
Ficus religiosa - Wikipedia
Ficus religiosa or sacred fig is a species of fig native to the Indian subcontinent [2] and Indochina [3] that belongs to Moraceae, the fig or mulberry family. It is also known as the bodhi tree, [4] bo tree, peepul tree, [2] peepal tree, pipala tree or ashvattha tree (in India and Nepal). [5] .
Home | Virgin Islands Port Authority
Connecting the U.S. Virgin Islands to the World by Air and Sea Since 1969. The Virgin Islands Port Authority owns and operates the two airports and most public seaports in the United States Virgin Islands and is responsible for maintaining the harbors in the territory.
Vipa Tree - Facebook
Vipa Tree is on Facebook. Join Facebook to connect with Vipa Tree and others you may know. Facebook gives people the power to share and makes the world more open and connected.
Jambudvīpa - Wikipedia
In its center is a gigantic Jambu tree from which the continent takes its name, meaning "Jambu Island". Jambudipa, one of the four Mahādīpas, or great continents, which are included in the Cakravāla "cosmos" and are ruled by a cakravartin .
USDA Plants Database
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Anadenanthera colubrina - Wikipedia
Anadenanthera colubrina (also known as vilca, huilco, huilca, wilco, willka, curupay, curupau, cebil, or angico) is a South American tree closely related to yopo, or Anadenanthera peregrina. It grows to 5–20 m (16–66 ft) tall and the trunk is very thorny. [1]
USDA Plants Database
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Lady Bird Johnson Wildflower Center - The University of Texas at …
Search for native plants by scientific name, common name or family. If you are not sure what you are looking for, try the Combination Search or our Recommended Species lists. Duration: Perennial Habit: Vine Fruit Type: Berry Size Notes: Tall climber, up to about 60 feet long. Fruit: Bluish black to black.
USDA Plants Database
USDA Plants Database
zju-vipa/awesome-neural-trees - GitHub
Neural trees (NTs) refer to a school of methods that combine neural networks (NNs) and decision trees (DTs), for which we present a comprehensive review in this survey. Our keynote is to identify how these approaches enhance the model interpretability and suggest possible solutions to the remaining challenges.