Entries by floraincognita

Flora Incognita Update

Our new release brings you a modern and simplified user experience, and a whole bunch of new features to help you further enjoy your plant findings: Identify Plants: The new user interface is more modern and clear. It’s now easier to capture and identify a plant in nature. You can disable the autofocus with a […]

[New Paper Published] Deep Learning in Plant Phenological Research: A Systematic Literature Review

Negin Katal conducted a systematic literature review to analyze all primary studies on deep learning approaches in plant phenology research. The paper presents major findings from selected 24 peer-reviewed studies published in the last five years (2016–2021).  Research on plant phenology has become increasingly important because seasonal and interannual climatic variations strongly influence the timing […]

Can grasses be identified automatically via smartphone images?

Couch grass or ryegrass? Grasses are considered species, that are difficult to identify. The couch grass (Agropyron repens) is feared and often controlled and in gardens. Ryegrass (Lolium perenne), on the other hand, is the basis of many lawn seed mixtures and is a valuable forage grass. The question is: Can you even differentiate them? […]

Flora Incognita demonstrates high accuracy in Northern Europe

The Flora Incognita project aims to inspire people – to get to know their (botanical) surroundings better, but also to think outside the box and reflect on the possibilities of artificial intelligence, deep learning or biodiversity. A great example of this is what Jaak Pärtel did: As a student project, he investigated the accuracy of […]

Promote cultivation of wild fruit

In the Wild Fruit Project of the Austrian Federal Forest Research Center (BfW), measures are being taken to secure and maintain the biodiversity of rare, native wild fruit trees in Austria – an opportunity for silviculture and biodiversity in times of climate change. The Flora Incognita project provides important distribution information on endangered wild fruit […]

Digital beekeeping to learn and play

With the “beeactive” app from the Würzburg Bee Research Association, children and young people can playfully learn more about bees and the biodiversity of various wild plants in their environment. The aim is to bring nature conservation and species protection into focus and to broaden their awareness of this. Flora Incognita provides the automatic identification […]

Efficient pollen identification – Interdisciplinary research team combines image-based particle analysis with artificial intelligence

From pollen forecasting, honey analysis and climate-related changes in plant-pollinator interactions, analysing pollen plays an important role in many areas of research. Microscopy is still the gold standard, but it is very time consuming and requires considerable expertise. In cooperation with Technische Universität (TU) Ilmenau, scientists from the Helmholtz Centre for Environmental Research (UFZ) and […]