Varroa destructor detection on honey bees using hyperspectral imagery

arXiv:2403.14359v1 Announce Type: cross
Abstract: Hyperspectral (HS) imagery in agriculture is becoming increasingly common. These images have the advantage of higher spectral resolution. Advanced spectral processing techniques are required to unlock the information potential in these HS images. The present paper introduces a method rooted in multivariate statistics designed to detect parasitic Varroa destructor mites on the body of western honey bee Apis mellifera, enabling easier and continuous monitoring of the bee hives. The methodology explores unsupervised (K-means++) and recently …

abstract advanced agriculture arxiv bees cs.cv cs.lg detection images information multivariate paper processing statistics the information type