Pl@ntNet Features

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 More

Key Features of Pl@ntNet

Pl@ntNet is a citizen science project and mobile application that enables users to identify plants by taking photos with their smartphone. It uses artificial intelligence and machine learning to recognize plant species, allowing users to contribute to a global plant biodiversity database. The app provides scientific and common names of plants, along with detailed information, and allows users to share observations for collaborative revision.
AI-powered plant identification: Uses deep learning technology to identify plants from user-submitted photos
Collaborative platform: Allows users to share observations and participate in community review of identifications
Extensive plant database: Provides access to a large database of plant species with scientific names, common names, and additional information
Offline functionality: Offers plant identification capabilities without an internet connection
Multiple photo input: Enables users to submit multiple photos of different plant parts for more accurate identification

Use Cases of Pl@ntNet

Nature education: Teachers and students can use the app to learn about local flora during field trips or outdoor classes
Biodiversity research: Scientists can utilize the crowdsourced data to study plant distribution, invasive species spread, and climate change impacts
Gardening and landscaping: Gardeners and landscapers can identify plants in their projects or discover new species for cultivation
Foraging and herbalism: Foragers and herbalists can use the app to identify wild plants for food or medicinal purposes
Conservation management: Park rangers and conservation managers can monitor plant species in protected areas and track invasive species

Pros

Free and accessible to anyone with a smartphone
Contributes to global scientific research on plant biodiversity
Regularly updated with new features and expanded plant database

Cons

Accuracy may vary depending on the quality of submitted photos
Requires active user participation to improve and maintain the database

Pl@ntNet Monthly Traffic Trends

Pl@ntNet experienced a 21.3% decline in traffic, with visits dropping from 1.1M to 840K. This decline may be attributed to the lack of significant product updates in recent months, despite the ongoing development and the announcement of the 2024 donation campaign. The platform's continued focus on research and the upcoming release of GeoPl@ntNet in 2025 might not have been enough to retain user engagement.

View history traffic

Latest AI Tools Similar to Pl@ntNet

altcheckerai
altcheckerai
AltCheckerAI is an AI-powered tool that automatically optimizes image alt text to improve website SEO and accessibility through intelligent recommendations.
IMG Processing
IMG Processing
IMG Processing is a powerful API service that enables fast and reliable image processing capabilities including uploading, transforming, and watermarking through simple integration.
ImageKit.io
ImageKit.io
ImageKit.io is a comprehensive media management and delivery platform that provides real-time image and video optimization, processing APIs, and Digital Asset Management (DAM) solutions for delivering high-quality visual experiences on websites and apps.
FLORA
FLORA
FLORA is an innovative AI-powered creative tool that combines multiple AI capabilities on an infinite canvas to enable personalized plant identification, creative design, and interactive botanical assistance.