What is AI Species Identification?
TL;DR
Technology that estimates candidate species of plants, insects, birds, or fungi from photos or sounds.
AI Species Identification: Definition & Explanation
AI species identification uses computer vision and audio recognition to estimate candidate species of plants, insects, birds, fungi, and more from photos or sounds. Trained on vast observation data, the AI analyzes shape, color, pattern, and calls to offer candidates, supporting nature observation, biology study, and citizen science. Leading services include Seek and iNaturalist (wildlife in general), PictureThis (plants), Picture Mushroom (mushrooms), Merlin Bird ID and BirdNET (birds), and Google Lens (general purpose). Some platforms, like iNaturalist, have expert and enthusiast communities confirm and correct identifications, and observation data feeds real research, letting anyone contribute to biodiversity records with just a phone. However, AI identifications are only candidates and can be wrong due to closely related species, growth stage, or shooting conditions. Especially for mushrooms and toxic plants, where a misidentification can harm health, never leave edibility or consumption decisions to AI — always confirm with an expert.