A deep learning model for pollinator plant surveys

Buff-tailed bumblebee (Bombus terrestris) feeding on the nectar of Creeping thistle (Cirsium arvense) flowers © Damien Hicks Authors Damien Hicks and Christoph Kratz introduce their team’s latest research demonstrating the use of machine learning for quadrat surveys to improve accessibility and resource efficiency of current methods for floral vegetation monitoring. The nectar sugar contained in flowers is a key driver of pollinator abundance and diversity. … Continue reading A deep learning model for pollinator plant surveys