Applying machine learning to investigate long-term insect-plant interactions preserved on digitized herbarium specimens.

These tools are a promising first step for the automation of herbivory data collection. We describe ongoing efforts to increase the accuracy of these models, allowing researchers to extract similar data and apply them to biological hypotheses.