beta release We proudly announce that we have released a beta version of Insect.id API. The new API enables you to identify species of terrestrial invertebrates, including insects and spiders from images using a machine-learning model. It is easy to use and we already love how it works. 💪 Identify over 6000 classes of insects …
feat. trees, tractors, and phones We have developed a machine learning solution that can identify and quantify flower clusters from photos. This idea came from a Polish farmer’s need for apple yield estimation. The ability to estimate the yield for the upcoming season can help farmers plan their harvesting and marketing strategies. Watch a video …
We can estimate the yield in an apple tree orchard 🍎 Read More »
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 …
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 …
5 tips on how to use Plant.id Health Assessment 💡 Read More »
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 …