LeafLive-DB: Classification and Data Storage of Botanical Studies

Jorge Rodolfo Beingolea, Diego Ramos-Pires, Jorge Rendulich, Milagros Zegarra, Juan Borja-Murillo and Simone A. Siqueira da Fonseca
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Jorge Rodolfo Beingolea: Department of Electronic Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil
Diego Ramos-Pires: Department of Electronic Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil
Jorge Rendulich: Department of Electronic Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04001, Peru
Milagros Zegarra: Department of Electronic Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04001, Peru
Juan Borja-Murillo: Department of Electronic Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04001, Peru
Simone A. Siqueira da Fonseca: Genetics and Immunochemistry Laboratory, Instituto Butantan, University of Mogi das Cruzes, Mogi das Cruzes 08780-911, Brazil

Data, 2021, vol. 6, issue 3, 1-14

Abstract: The development of studies, projects, and technologies that contribute to the understanding and preservation of plant biodiversity is becoming highly necessary, as well as tools and software platforms that enable the storage and classification of information resulting from studies on biodiversity. This work presents LeafLive-DB, a software platform that helps map and characterize species from the Brazilian plant biodiversity, offering the possibility of worldwide distribution. Developed by Brazilian and Peruvians researchers, this platform, which is available in its first version, features some functions for consulting and registering plant species and their taxonomy, among other information, through intuitive interfaces and an environment that promotes collaboration and data and research sharing. The platform innovates in data processing, functionality, and development architecture. It has ten thousand registers, and it should start to be distributed in partnership with schools and higher education institutions.

Keywords: bioinformatics; Brazilian flora; data classification; taxonomy; tools; vegetable mapping (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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