Use Pl@ntnet-API to integrate Pl@ntNet’s visual identification engine into your app and improve your users’ experience.
This service has developed an Application Programming Interface (API) allowing users to query the Pl@ntNet identification engine. This service is available to developers, researchers and other citizen science observatories interested in plant biodiversity
Pl@ntNet-API enables other citizen observatories and third-party applications developed by industrial, academic or associative stakeholders to integrate automatic plant identification features very easily into their apps. This service is regularly updated and enriched. Because it is connected to the Pl@ntNet database, it is regularly updated with new flora images. This means the visual recognition is constantly improving.
Additionally, Pl@ntNet-API incorporates automated rejection of inappropriate content. This means that any pictures of non-plant entities are filtered out and no results are returned. Specifically, inappropriate content such as faces or pornographic content receives special attention for recognition.
The service also monitors the quality of service provided based on several criteria (status, response time, scalability, etc.) and includes an alert system that allows developers to react quickly.
Development & how it works:
Example: A citizen observatory developing a new app related to biodiversity will be able to integrate an automatic plant identification feature without managing it itself.
The website my.plantnet.org provides rich documentation of the service as well as a dashboard allowing users to track their use of the service.
Note that Pl@ntNet’s infrastructure and data-management software are highly scalable. So, if you are a developer of downstream applications, you don’t have to manage the workload yourself!
Innovation for citizen observatories:
If you integrate Pl@ntNet-API into your app, your users will be able to:
Questions & answers
Developers with some experience in web technologies.
Yes, the identification quality is regularly improved and the number of recognized species regularly increased: the more observations Pl@ntNet app receives, the better the visual plant-recognition system works.
Yes, they are highly scalable. This way, developers of downstream applications do not have to manage the workload themselves.
Guidelines and documentation to use Pl@ntNet-API:
Pl@ntNet, artificial intelligence, plant species, automatic plant identification