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. But did you know Plant.id demo website was created as a progressive web app? This means you can easily install and use […]
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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. Here is a list of changes coming
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Are you wondering how to get the best results in Plant.id Health Assessment? Here are 5 tips that will make using the feature better and easier for you! Include details of the sick parts of the plant. Include multiple photos in the request. Include photos of the different parts of the plant. Interpretation of the
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A perfect model for plant disease recognition can’t be created overnight. Since the release of the first version of the model, we have been collecting feedback from our clients and working on improvements, new content, and functionalities. Here you can read about our process of improving, testing, and having fun with Plant.id Health Assessment. March
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Here are some tips which will help you get the best possible results from Plant.id API. Follow them and improve the identification accuracy and the overall experience with the API. Include the GPS location to your identification request. It can improve the accuracy by ~3%. Take a sharp, well-lit photo. Come closer to the plant.
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