This website is the interface for a research compendium that describes the data and the R codes used to transform, visualize and analyze the data published in a manuscript on the evaluation of app-embed rating systems for aiding visual severity estimation. All files for producing this documentation are stored permanently at the Open Science Framework that integrates with a repository on GitHub.

Del Ponte, E. M. Research compendium: Evaluation of App-Embedded Disease Scales for Aiding Visual Severity Estimation of Cercospora Leaf Spot of Table Beet. https://doi.org/10.17605/osf.io/34nzc

GitHub repository

https://github.com/emdelponte/paper-estimate-app

Download paper

The paper on the evaluation of the different systems in Estimate was accepted by Plant Disease and published online early on November 30th.

Del Ponte EM, Nelson SC, Pethybridge SJ. Evaluation of App-Embedded Disease Scales for Aiding Visual Severity Estimation of Cercospora Leaf Spot of Table Beet. Plant Disease. Online First 2018 Nov. DOI 10.1094/PDIS-10-18-1718-RE

The publication on the App can be found here: https://apsjournals.apsnet.org/doi/10.1094/PDIS-07-17-1094-SR

Licences

Data: CC-0 attribution requested in reuse Manuscript: CC-BY-4.0
Code: MIT year: 2018, copyright holder: Emerson Del Ponte




Developed by Emerson Del Ponte.