Plantas Exóticas 2.0

Name: Plantas Exóticas 2.0
Author: RCRA

Android app by RCRA. Education · RCRA

Store rating: Unknown
Store rating count: Unknown
Download price: Free to download
In-app purchases: Not listed in captured metadata
Version: 1.0.0
Listing last refreshed: 2026-09-13

Store description excerpt

🌿 MAIN FEATURES • INCIDENT LOG Document exotic plants in the field with photos, name, location, and notes. Add multiple coordinates per incident to record the full extent of the invasion. • ARTIFICIAL INTELLIGENCE IDENTIFICATION Don't know the plant's name? Add one or more photos and the AI will identify the species using the Pl@ntNet database. Mark each photo with the part of the plant photographed for even more accurate results. • INTERACTIVE MAP View all incidents on a map with colored pins by invasiveness level. Filter by category, location, or classification status. Switch between standard and satellite view. • INVASIVENESS CLASSIFICATION System based on the dichotomous key of Durigan et al. (2013) with 7 invasiveness categories. The app guides the researcher step-by-step to the correct classification for the biogeographical region. • SPECIES CATALOG Consult the Flora and Funga of Brazil catalog directly in the app to verify the taxonomic status of species found in the field. • DATA EXPORT Export all occurrences in Excel format (.xlsx) for later analysis or sharing with research teams. • CLOUD SYNCHRONIZATION Log in with email/password or Google to automatically synchronize your records on any device. 🎯 IDEAL FOR • Conservation Unit Managers • Citizen Scientists • Researchers and students of biology, forestry engineering, botany, and environmental sciences • Floristic survey teams • Invasive species mapping projects • Academic work and scientific research 📋 TECHNICAL RESOURCES • Multiple GPS coordinates per occurrence • Species identification by AI — Pl@ntNet recognition API • Integrated Flora and Funga Catalog of Brazil • Classification by the dichotomous key of Durigan et al. (2013) • Interactive map with filters by invasiveness and location • Export to Excel spreadsheet (.xlsx) • Local storage with automatic synchronization to the cloud via Firebase 🔒 PRIVACY AND PERMISSIONS Records are stored locally on the device and synchronized with Firebase when you are authenticated. AI identification sends photos to Pl@ntNet. The app requests camera, gallery, and location permissions, all of which are optional. 🤝 TEAM • Professor: Dr. Rodolfo Cesar Real de Abreu (LEAp-UFRRJ) • Developer: Morgana Timbo (Software Engineer) 📖 REFERENCE The invasiveness classification is based on: Durigan, G., Ivanauskas, N. M., Zakia, M. J., & Abreu, R. D. (2013). Control of invasive plants: ecological and socioeconomic criteria for the decision-making process. Natureza & Conservação, 11(1), 23–30.

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