Swiss Needle Cast Detection with Unmanned Aerial Systems
We examined the efficacy of using unmanned aerial systems to assess Swiss Needle Cast incidence in Douglas-fir in western Oregon. Detection accuracy was better than random (kappa 0.4 - 0.7) but inconsistent. Lighting conditions and variable phenology confound detection. Complexity of operations and post-processing are barriers to widespread implementation. Presented by Jonathan Burnett, Oregon State University, at the 2017 SAF National Convention, Albuquerque, NM