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Leafhopper disease severity prediction

Table of contents

Summary

This repository introduces the necessary steps to develop the model for the severity of leafhopper infestation symptoms.

Data

The dataset leafhopper_2022_2024_adults_nymphs_per_plot_wk2.csv was used to perform the experiments.

Model

The model is an averaged linear mixed model for the variation, in two weeks, of the variable "% of leaves with more than 25% severity symptoms". This model can be run using the R script: scriptR_leafhopper_2022_2024_p_s_leaves_delta_wk2_alldata.Rfile.

Result

Two outputs are enabled:

  1. The pdf includes all graphs derived from the linear mixed models run
  2. The txt file includes all the text output generated in R and presents the model's output statistics. The R outputs (graphs and text) are sequential, and generated according to the order of the R script.

Authors

Nuno Faria

Acknowledgements

This project is funded by the European Union, grant ID 101060643.

https://cordis.europa.eu/project/id/101060643