Abstract Detail

Biodiversity Informatics & Herbarium Digitization

Maya Lastra, Carlos Alonso [1].

ColectoR, a digital field notebook for voucher specimens collection for Android.

ColectoR was developed to aid botanists in the collection of data for voucher specimens using smartphones, accelerating the process of data capture in situ and its posterior organization. It was designed in a minimalistic way using an intuitive iconic interface, and native objects of the Android operating system that allows the integration of functions such as spell check, word suggestion, and voice recognition. All the elements of ColectoR increase the speed of data entry. The app also cointains lists of elements that are auto-populated with each saved record, buttons that automatize data collection and capture, spell checker for species names and data export functions. The application can acquire latitude and longitude using the GPS, and altitude (in some phones where an altimeter may be built in) to suggest descriptive location data using reverse geo-referencing. The integration of external application programming interfaces (APIs) and an automatized spreadsheet extends its functionality, offering an increase in the information and tools available to the user. If cloud storage applications like Dropbox, Google Drive, or Mega are installed in the smartphone, the user can export the entire database using these services directly. ColectoR provides an efficient method for capturing data in the field while also serving to organize the information into a coherent database, thereby greatly reducing the time required for post-capture data organization and label printing.

Related Links:
http://camayal.info/colector.htm

1 - Columbia University, Ecology, Evolution and Enviromental Biology, 1200 Amsterdam Ave., Schermerhorn Ext. 1014A, New York, New York, 10027, USA

Keywords:
botany app
herbarium labels
plant collection.

Presentation Type: Poster
Session: P, Biodiversity Informatics & Herbarium Digitization Posters
Location: Arizona Ballroom/Starr Pass
Date: Monday, July 29th, 2019
Time: 5:30 PM This poster will be presented at 6:15 pm. The Poster Session runs from 5:30 pm to 7:00 pm. Posters with odd poster numbers are presented at 5:30 pm, and posters with even poster numbers are presented at 6:15 pm.
Number: PBI006
Abstract ID:562
Candidate for Awards:None