It is developed by scientists from four French research organisations (Cirad, INRA, Inria and IRD), and the Tela Botanica network, with the financial support of Agropolis fondation.
Among other features, this free app helps identifying plant species from photographs, through a visual recognition software. Plant species that are well enough illustrated in the botanical reference database can be easily recognized.
This app works on more than 4100 species of wild flora of the French territory, the species list is available through the application. The number of species and the number of images used by the application evolve with contributions of end users to the project.
It doesn't allow the identification of ornamental plants. It works even better than the pictures submitted are focused on one organ. Pictures of tree leaves on uniform background provide the most relevant results.
If you correctly identify a species, you can participate to the project by submitting your observation with the "contribution" button. These contributions subject to a moderation process will be validated collaboratively.
To find this application on the web, go to the following link:
Those who want to contribute more interactively to this participatory science project can go to:
Each installation includes three prepaid identifications, each other for : 1 USD / 0.7 EUR. We use Google's in-app purchase.
The identification process is not computer-based, it requires human involvement. Therefore we ask for a payment to maintain quality of the service. If we can't identify your plant, you don't pay anything.
Our team will respond as quickly as possible, but the identification usually takes minutes or hours. So far, we have been able to identify 90% plants in average.
The contents include:
- 118 species: all the native trees as well as those which most frequently become established in the wild in Andorra, continental Portugal, peninsular Spain and the Balearic Islands. Each species entry includes a distribution map, a brief description and one or more photos.
- 2 different ways to search (directed and open), which the user can choose between to intuitively identify species.
- More than 300 illustrations that facilitate species identification.
- Around 400 photos showing the most characteristic details of each species.
- A glossary containing more than 80 terms.
Arbolapp does not need an internet connection to work, making it really useful for trips into the natural environment. Its contents are aimed at anyone wanting to learn about or increase their knowledge of the trees they find in their surroundings. For this reason, an effort has been made to use understandable language and simple explanations without dumbing down the content.
Arbolapp has been developed by the most important Spanish research association, the Spanish National Research Council (CSIC), through its Deputy Vice Chair of Scientific Culture and the Royal Botanic Garden. It is also funded by the Spanish Foundation for Science and Technology (FECYT).
La identificación se basa en claves dicotómicas a partir de la observación de las características morfológicas de los vegetales (hojas, ramas, flores, ...).
Siguiendo las diferentes opciones se llega a la determinación de la especie. En este punto, la aplicación nos redirige a la wikipedia, donde podremos constatar que, efectivamente, se trata de nuestra especie y visualizar más ampliamente sus características.
Blog (Parenting, Small Group Questions)
-Read the latest posts and get insight on different topics
-Watch and listen to sermons and teaching from our ministries
-Listen to music from our worship team
-Get directions and more info about staying in touch
For more information about Bent Tree, please visit http://www.benttree.org
The Bent Tree App was developed with the Subsplash App Platform.
App: © 2014 The Church App, Content: © 2014 Bent Tree. All rights reserved.
La aplicación permite acceder a los siguientes servicios:
- Últimas noticias.
- Galería de imágenes.
- Sección de alumnos.
Fie ca folosim cu scop de studiu sau in conditii de supravietuire, aceste informatii trebuie retinute pentru a ne orienta si inderepta mereu in directia corecta.
La Guia es connecta online i llista tots els bolets, així que pot trigar o ocupar recursos en funcionar. Esperem millorar-la en breu!
Gràcies i cuideu el bosc!!
O projeto ePlants contribui para que estudantes de biologia e cursos destinados a área ambiental tenham acesso a registros de catalogação e imagens através do Google imagens © 2014.
★Disponível em dois idiomas, Português (Brasil) e Inglês.
★Exportação dos cadastros gerados nos formatos .txt(Documento de texto) e .csv(Dados tabelados).
★App possui registros cadastrados, com total possibilidade de crescimento da base de dados.
Nossa lista de plantas cadastradas conta com algumas espécies, será atualizada gradativamente até se tornar uma ótima base de dados para consulta e catalogação
Ofereix un llistat de les plantes més comunes de l'entorn català, així com els possibles remeis que es poden realitzar amb cadascuna d'elles.
També s'expliquen diferents rutes que es poden dur a terme a la comarca del Bages, en les quals s'hi poden trobar algunes de les plantes explicades.
L'aplicació compta també amb una farmaciola essencial i un extèns glossari que recull el vocabulari relacionat amb les plantes.
Amb Plantes Remeieres tothom tindrà l'oportunitat de gaudir des de ben petit del privilegi d'escoltar alguns secrets de la salut natural i de les virtuts de les plantes.
Nota: L'aplicació només ens mostra una petita part de l'extens món de la salut natural, per aquest motiu és una recerca oberta que caldrà anar ampliant, completant i polint per anar-ne adaptant el contingut seguint els possibles suggeriments i consells.
Please note this is a large download (272M) and depending on your connection may take several minutes to download and install. An internet connection is not required once installed.
Environmental Weeds of Australia has been developed to assist with the identification of weed species that invade natural habitats. It is a valuable resource for all those concerned about environmental weeds: weed and biodiversity researchers, trainers, advisors, weed control officers, environmental community groups, weed management practitioners, and anyone with an interest in environmental weeds.
While Australian focused, this key provides an excellent resource to users in other countries. Both plain English and botanical terms (usually in brackets) are used throughout the App to make it applicable to as wide an audience as possible.
At the core of this App is an interactive Lucid identification key to 1020 plant species that are either significant or emerging environmental weeds in Australia. To help confirm the identification of weed species the app provides over 10,000 photos and a wealth of information on each weed species and how to distinguish between very similar species. In many cases, links are provided to websites that have relevant information about the management of specific weed species.
This application is handy for studying and well preparing yourself for the Citizenship Test. There have 14 groups with 20 questions drawn randomly from the resource book "Australian Citizenship: Our Common Bond" allowing you practice repeatedly at anytime anywhere.
Hurry and good luck!
keywords: Australia, Australian, citizenship, Australian citizenship, naturalization, Australian naturalization, civics, Australian civics test, resident visa, green card
You can browse plants by families, genus, search by common name or scientific name, and state. The detail species page include major characters and distribute map, and linked to USDA web site for detail information.
You can use it in a field trip, write a note about a plant, take a photo using the phone camera, select a photo from the phone. It is all at your finger tip.
You can save the plant locations and later view all of them on a map.
You can also group them, and add various species into different groups for easy access.
Note: Data are from USDA plant database (2006), with 541 families, about 5000 genea, and 50,000 species. If have other data sources, please let me know. We can make it better. I am a plant lover too!
Users can narrow the species list for any location in North America using the phone's GPS, network signal or any entered address or zip code. Basically the application can become “Woody Plants of Where You Are Standing”. For example, it can become the “Woody Plants of Southwestern Oregon” , the “Woody Plants of Central Park” or the or “The Woody Plants of 37.108 lat., -80.452 long., elevation 2118”.
Users can further narrow the species list by answering a series of very simple tree attribute questions such as where the plant is growing, leaf shape, leaf arrangement, flower color or fruit type.
The species list can also be narrowed by typing a keyword such as oak, Abies, red or palm. For example if oak is typed only oaks found in the defined area will be listed.
A feature also allows you to send any tree related question to “Dr. Dendro”, a tree expert in the Department of Forest Resources and Environmental Conservation at Virginia Tech. You can send a tree description or pictures of your plant and experts will help with identification.
• 969 woody plants from all over North America
• Over 6,400 color photographs of leaves, flowers, fruit, twig, bark, form, and range map for each species
• In depth description of all plant parts
• Narrows species list based on your location and elevation using the phones GPS, network signal or user entered location
• Search for species by a key word, e.g. maple
• Identify species by answering a series of simple questions. A picture is displayed showing what is being asked.
• Navigate between species with a push of a button.
• Send a tree question to “Dr. Dendro” a tree expert at Virginia Tech
VIRGINIA TECH TREE IDENTIFICATION DIGITAL MATERIAL
Visit our web sites at: http://dendro.cnre.vt.edu
Woody Plants in North America, 2012, Kendall/Hunt Publishing is a multimedia tutorial on DVD covering 920 woody plants with over 23,000 color photographs of leaves (summer and fall), flowers, fruits, twigs,
bark and form for each plant. The software displays multiple images of all plant parts so user can develop a “feel” for normal field variation. A customizable, self-quizzing section allows users to evaluate their progress in plant identification. For more features on this software visit: http://dendro.cnre.vt.edu/dendrology/wpina.htm
The 650 MB database of tree photographs and text is downloaded from our server. We recommend you install Virginia Tech Tree Identification using a fast WIFI connection. A cellular connection will generally be too slow.
Text and photography by John R. Seiler, John A. Peterson Department of Forest Resources and Environmental Conservation, Virginia Tech and Ed Jensen, Forest Ecosystems and Society, Oregon State University
Programming by Robert Potts
Technical support by Andrew Meeks