Plant image identification application demonstrates high accuracy in Northern Europe.

ABSTRACT: Automated image-based plant identification has experienced rapid development and has been already used in research and nature management. However, there is a need for extensive studies on how accurately automatic plant identification works and which characteristics of observations and study species influence the results. We investigated the accuracy of the Flora Incognita application, a research-based tool for automated plant image identification. Our study was conducted in Estonia, Northern Europe. Photos originated from the Estonian national curated biodiversity observations database, originally without the intention to use them for automated identification (1496 photos, 542 species) were examined. Flora Incognita was also directly tested in field conditions in various habi

SUBMITTER: Partel J 

PROVIDER: S-EPMC8387968 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature