Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems
K. Rydhmer, J. O. Eckberg, J. G. Lundgren, S. Jansson, L. Still, J. E. Quinn, R. Washington, J. Lemmich, T. Nikolajsen, N. Sheller, A. M. Michels, M. M. Bredeson, S. T. Rosenzweig, E. N. Bick
This paper evaluates optical insect sensors for estimating invertebrate species richness in Kansas agricultural fields, finding they correlate better with conventional methods than between conventional methods themselves.
bioRxiv · Aug 15, 2023 · PreprintEcology