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Citizen science data on urban forageable plants: a case study in Brazil.

Filipi Miranda SoaresLuís Ferreira PiresMaria Carolina GarciaLidio CoradinNatalia Pirani Ghilardi-LopesRubens Rangel SilvaAline Martins de CarvalhoAnand GavaiYamine BouzembrakBenildes Coura Moreira Dos Santos MaculanSheina KofflerUiara Bandineli MontedoDebora Pignatari DruckerRaquel de Andrade Cardoso SantiagoMaria Clara Peres de CarvalhoAna Carolina da Silva LimaHillary Dandara Elias GabrielStephanie Gabriele Mendonça de FrançaKaroline Reis de AlmeidaBárbara Junqueira Dos SantosAntonio Mauro Saraiva
Published in: GigaByte (Hong Kong, China) (2024)
This paper presents two key data sets derived from the Pomar Urbano project. The first data set is a comprehensive catalog of edible fruit-bearing plant species, native or introduced to Brazil. The second data set, sourced from the iNaturalist platform, tracks the distribution and monitoring of these plants within urban landscapes across Brazil. The study includes data from the capitals of all 27 federative units of Brazil, focusing on the ten cities that contributed the most observations as of August 2023. The research emphasizes the significance of citizen science in urban biodiversity monitoring and its potential to contribute to various fields, including food and nutrition, creative industry, study of plant phenology, and machine learning applications. We expect the data sets presented in this paper to serve as resources for further studies in urban foraging, food security, cultural ecosystem services, and environmental sustainability.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • healthcare
  • primary care
  • climate change
  • human health
  • physical activity
  • artificial intelligence
  • deep learning
  • quality improvement