Pl@ntNet is a citizen science project and app that identifies plants from user-submitted pictures using image recognition technology.
Pl@ntNet is a collaborative citizen science project focused on plant biodiversity. It provides a mobile application that allows users to identify plants by submitting photographs. The system relies on image recognition technology to process these pictures and suggest possible plant species. Beyond identification, Pl@ntNet encourages user participation in various ways, including contributing plant observations, engaging in collaborative reviews, and working in groups. The project also supports micro-projects, allowing for focused efforts on specific geographical areas or thematic plant categories. It aims to foster responsible citizenship by involving individuals in understanding and documenting plant life. The project is backed by research and development, with an API available for developers and open data resources. It collaborates with various partners and research initiatives, including those focused on tropical forest canopies and hyperspatial imaging, to advance its plant identification capabilities and expand its reach globally.
Integrations: GBIF
Platforms: Web, iOS, Android
View full Pl@ntNet profile on Tools-Radar | Browse Research tools | Alternatives to Pl@ntNet
Tools-Radar is a free directory of 10,000+ AI tools — discover, compare, and choose the right AI software for your needs. Visit tools-radar.com