The goal of this PAthogen PROgnosis System is to prognose severe infection events with fungi on agricultural plants.
It is based on my thesis where the theory behind the machine learning algorithms, the interpolation methods and the pathogen specific aggregation procedures are explained.
Hamer, W.B. (2018). Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques (Doctoral dissertation). Retrieved from https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00007706/Hamer_Dissertation_Pathogen_prognosis.pdf
You can install papros from github with:
if(!require('devtools')) install.packages('devtools')
devtools::install_github("whamer/papros")