Pl@ntNet Introduction
Pl@ntNet is a citizen science project and mobile app that allows users to identify plants from photos using AI and contribute to plant biodiversity research.
View MoreWhat is Pl@ntNet
Pl@ntNet is a collaborative platform and mobile application that combines artificial intelligence and citizen science to help identify plant species and contribute to botanical research. Developed by a consortium of French research organizations, Pl@ntNet allows users to take photos of plants and receive AI-powered identifications. The project aims to increase knowledge of plant biodiversity by engaging citizens in the collection and sharing of botanical observations worldwide.
How does Pl@ntNet work?
Users can take photos of plants using the Pl@ntNet mobile app or website and submit them for identification. The app uses deep learning algorithms trained on millions of plant images to suggest possible species matches. Users can then confirm or correct identifications, adding their observations to the Pl@ntNet database. These crowdsourced observations are used to continuously improve the AI model and contribute to global biodiversity databases like GBIF. Pl@ntNet offers various regional and thematic floras to tailor identifications to specific geographic areas or plant groups. The platform also provides an API for researchers and developers to access its plant recognition capabilities.
Benefits of Pl@ntNet
Pl@ntNet makes plant identification accessible to anyone with a smartphone, fostering greater public engagement with botany and biodiversity. For researchers, it provides a vast and growing dataset of geolocated plant observations that can be used to study plant distributions, phenology, and the impacts of climate change. The platform's collaborative nature allows both amateur and expert botanists to contribute their knowledge, creating a community-driven resource for plant information. Additionally, Pl@ntNet's open approach, with no ads or data selling, ensures that the project remains focused on its scientific and educational goals.
Pl@ntNet Monthly Traffic Trends
Pl@ntNet experienced a 20.8% decline in traffic, resulting in 503K visits. Lack of recent product updates and no significant market activities may have contributed to this decline. The platform's focus on enhancing plant disease detection with Vision Transformers and CNNs and the upcoming GeoPl@ntNet application could potentially revitalize interest in future months.
View history traffic
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