Do The Different Light Conditions Have An Influence On Plant.Id Identification Accuracy?
February 7, 2023
3 min read
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Plant.id is an API that identifies plant species and diseases from photos with machine learning. Send us images of your plant and get the possible suggestions with plenty of other information including representative images of the species.
But is it working the same way in every environment and light condition?
To answer this question we tested our API for whole day on three different plants at natural light. We took the picture every hour to compare the results from our API. The images were next artificially adjusted to higher contrast and brightness.
The results show that plant identification accuracy during the day was changed max. 15%.
Results of our Plant.id API identification accuracy adjusted to higher/lower contrast and brightness.
The new API can identify 3,100 species of fungi (including lichens and related organisms such as slime molds) and includes enhanced information that has been carefully selected and prepared based on the needs of people interested in mushroom identification.
The primary purpose of Plant.id is to provide a plant species and diseases identification API. To make it accessible to non-programmers, we created a web demo, which you can try at https://plant.id/ website.
Let us introduce you to the first production version of Plant.id Health Assessment. During the last year, we have been collecting feedback on the beta version of our plant disease identification API. Moreover, we have expanded our datasets and deepened our understanding of machine learning-powered plant disease identification.