PlantNet Plant Identification

리뷰 26.5만개
콘텐츠 등급
PEGI 3
1,000만+
다운로드
콘텐츠 등급
PEGI 3
사용자 상호작용
자세히 알아보기
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
스크린샷 이미지
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앱 정보

Pl@ntNet is an application that allows you to identify plants simply by photographing them with your smartphone. Very useful when you don't have a botanist on hand! Pl@ntNet is also a great citizen science project: all the plants you photograph are collected and analysed by scientists around the world to better understand the evolution of plant biodiversity and to better preserve it.

Pl@ntNet allows you to identify and better understand all kinds of plants living in nature: flowering plants, trees, grasses, conifers, ferns, vines, wild salads or cacti. Pl@ntNet can also identify a large number of cultivated plants (in parks and gardens) but this is not its primary purpose. We especially need Pl@ntNet’s users to inventory the wild plants, those that you can observe in nature of course but also those that grow on the sidewalks of our cities or in the middle of your vegetable garden!

The more visual information you give to Pl@ntNet about the plant you are observing, the more accurate the identification will be. There are indeed many plants that look alike from afar and it is sometimes small details that distinguish two species of the same genus. Flowers, fruits and leaves are the most characteristic organs of a species and it is them that should be photographed first. But any other detail can be useful, such as thorns, buds or hair on the stem. A photograph of the whole plant (or the tree if it is one!) is also very useful information, but it is often not sufficient to allow a reliable identification.

At present Pl@ntNet makes it possible to recognize about 20,000 species. We are still a long way from the 360,000 species living on earth, but Pl@ntNet is getting richer every day thanks to the contributions of the most experienced users among you. Don't be afraid to contribute yourself! Your observation will be reviewed by the community and may one day join the photo gallery illustrating the species in the application.

The new version of Pl@ntNet released in January 2019 includes many improvements and new features:
- The ability to filter recognized species by genus or family.
- The differentiated data revision that gives more weight to users who have demonstrated the most skills (in particular the number of species observed, validated by the community).
- The re-identification of shared observations, whether yours or those of other users of the application.
- The multi-flora identification that allows you to search for the photographed plant in all the flora of the application and not only in the one you have selected. Very useful when you are not sure what flora to look for.
- The selection of your favorite floras to access them more quickly.
- The navigation at different taxonomic levels in image galleries.
- The mapping of your observations.
- Links to many factsheets.

The web version of the application is also available at the following address: https://identify.plantnet.org/
Observation and help for the identification of wild plants
업데이트 날짜
2026. 10. 29.

데이터 보안

보안은 개발자가 데이터를 수집 및 공유하는 방식을 파악하는 것에서 시작됩니다. 데이터 개인 정보 보호 및 보안 관행은 사용자의 앱 사용, 지역, 연령에 따라 다를 수 있습니다. 다음은 개발자가 제공한 정보이며 추후 업데이트될 수 있습니다.
  • 앱에서 제3자와 공유할 수 있는 데이터 유형
    사진 및 동영상
  • 앱에서 수집할 수 있는 데이터 유형
    위치, 개인 정보 및 사진 및 동영상
  • 전송 중 데이터 암호화됨
  • 데이터 삭제를 요청할 수 있음

평점 및 리뷰

리뷰 26만개
김승효
2022년 5월 26일
딥러닝을 공부하면서 이런 쪽으로 개발을 해보면 어떨까 싶어서 스토어에서 검색을 해 보았습니다. 이미 훌륭한 앱이 있었네요. 동기 부여가 되었습니다. 좋은 앱을 만들어 주셔서 감사합니다. :)
사용자 18명이 이 리뷰가 유용하다고 평가함
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ferret kim
2021년 4월 27일
좋아요!! 자세하고 정확하게 잘 나와요!
사용자 26명이 이 리뷰가 유용하다고 평가함
이 리뷰가 유용했나요?
김길웅
2020년 6월 20일
아주 상세하게 비교할수 있어 좋아요.
사용자 18명이 이 리뷰가 유용하다고 평가함
이 리뷰가 유용했나요?

새로운 기능

Add the Pl@ntNet widget to your Home Screen and start a new observation without opening the app first. The species explorer now has trait filters, so you can narrow a group down to the plants matching what you see, with the number of species behind each value. This version is also faster and more stable, with many crashes and rotation issues fixed.