All active development has ceased in this repository due to GitHub's continued pivot towards AI. It has moved to https://codeberg.org/adamhsparks/Epicrop.jl. This repository will be deleted in the future.

Epicrop.jl is a Julia package that can be used to simulate disease epidemics. If you have not yet installed Julia, please follow the instructions for your operating system.

This package provides a Healthy-Latent-Infectious-Postinfectious (HLIP) model for unmanaged plant disease epidemic modelling. Originally this modelling framework was used by specific disease models in EPIRICE to simulate severity of several rice diseases (Savary et al. 2012). Given proper values it can be used with other pathosystems as well.

Epicrop.jl is is a registered Julia package. You can install it with the following commands:

julia> ] add Epicrop 

You can copy and paste all commands to the REPL including the leading julia> prompts - they will automatically be stripped away by Julia.

Epicrop.jl is a package that can be used to simulate disease epidemics. It provides a main function, hlipmodel() and five helper functions that enable users to quickly model bacterial blight, bacterialblight(); brown spot, brownspot(); leaf blast, leafblast(); sheath blight, sheathblight(); and tungro, tungro(), which require only three arguments to run, an object containing the weather data, the start of season date and duration of the season.

Please see the documentation for a full description of how to use the package.

Savary, S., Nelson, A., Willocquet, L., Pangga, I., and Aunario, J. Modeling and mapping potential epidemics of rice diseases globally. Crop Protection, Volume 34, 2012, Pages 6-17, ISSN 0261-2194 DOI: 10.1016/j.cropro.2011.11.009.