User-Friendly Interface
Pl@ntNet offers a simple and intuitive interface that allows users to easily upload images and receive plant identification results, making it accessible for both amateur and professional botanists.
Community Contribution
The platform allows users to contribute images and observations, enabling a collaborative effort to improve and expand the database, enhancing the accuracy of identifications over time.
Extensive Database
Pl@ntNet covers a wide range of plant species globally, providing a comprehensive resource for identifying a vast array of plants, trees, and flowers from different regions.
Free Access
The tool is available for free, making it accessible to anyone interested in plant identification without the need for a subscription or payment.
Scientific Collaboration
Pl@ntNet collaborates with various scientific institutions, ensuring that the database is enriched with scientifically validated information and expert contributions.
We have collected here some useful links to help you find out if Pl@ntNet is good.
Check the traffic stats of Pl@ntNet on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Pl@ntNet on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Pl@ntNet's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Pl@ntNet on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Pl@ntNet on Reddit. This can help you find out how popualr the product is and what people think about it.
There are a number of phone apps that will identify trees from a picture. I personally prefer plantnet.org (non-profit entity / no ads or tracking). Source: over 3 years ago
You can also go directly to plantnet.org and perform the same check. Source: over 3 years ago
Get the app from plantnet.org. It's developed by a non-profit consortium of European organizations. I promise it's completely ad free and won't terrorize you in any way. Source: over 3 years ago
You could scrape them off the plantnet.org site. But unless your problem is purely academic you could skip creating your own engine and just use their API. Source: almost 4 years ago
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Is Pl@ntNet good? This is an informative page that will help you find out. Moreover, you can review and discuss Pl@ntNet here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.