Although often not collected specifically for the purposes of conservation, herbarium
specimens offer sufficient information to reconstruct parameters that are needed to …

This report reviews the current state-of-the-art applied approaches on automated tools,
services and workflows for extracting information from images of natural history specimens …

Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being
routinely and effectively implemented in this domain. Particularly relevant to the …

Advanced computer vision techniques hold the potential to mobilise vast quantities of
biodiversity data by facilitating the rapid extraction of text‐and trait‐based data from …

Plants, fungi and algae are important components of global biodiversity and are
fundamental to all ecosystems. They are the basis for human well-being, providing food …

A key limiting factor in organising and using information from physical specimens curated in
natural science collections is making that information computable, with institutional …

Herbarium sheets present a unique view of the world's botanical history, evolution, and
biodiversity. This makes them an all–important data source for botanical research. With the …

Species inventories are essential to the implementation of conservation policies to mitigate
biodiversity loss and maintain ecosystem services and their value to the society. This is …

The mobilization of large-scale datasets of specimen images and metadata through
herbarium digitization provide a rich environment for the application and development of …

We describe an effective approach to automated text digitisation with respect to natural
history specimen labels. These labels contain much useful data about the specimen …