FLOWERCHECKER

With Plant.id, we make use of this experience and bring smart solutions to businesses and organisations. We work with a wide variety of companies from different fields like smart gardening, nature conservation or agriculture. We provide plant identification API for various applications: - Gardening mobile apps - Computer vision for garden technology - Sample evidence support - Passportization - Monitoring - Precise fertilization - Weed detection Our neural network’s architecture is based on Inception model, but we have implemented a bunch of customization, mostly related to the certainty determination, adaptive represenative photo selection and improving the accuracy with some meta attributes like GPS coordinates. Our newest model can identify 10.788 plants species. The set of species selection is based on the most identified plants within United States, European Union, India and Australia.