Applying Machine Learning to Investigate Long Term Insect-Plant Interactions Preserved on Digitized Herbarium Specimens
E. K. Meineke, C. Tomasi, S. Yuan, K. M. Pryer
The paper develops machine learning models to automate herbivory data extraction from digitized herbarium specimens, achieving 81.5% accuracy in classifying herbivory types.
bioRxiv · Oct 2, 2019Ecology