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In the realm of plant pathology, accurately measuring disease severity is paramount for effective management strategies. 🌿🔍Standard area diagrams are often used to help quantify disease severity by visually representing the proportion of affected plant tissue in a standardized manner. With Plimanshiny, pathologists now have a sleek and efficient way to create SADs. 🎨✨ plimanshiny streamlines the process, allowing users to generate visually appealing diagrams To get access to the app, install the development version of pliman and plimanshiny with install.packages("pak") pak::pkg_install("TiagoOlivoto/pliman") pak::pkg_install("TiagoOlivoto/plimanshiny") Load one of the packages and run library(plimanshiny) run_app() https://lnkd.in/dumN3KyP #SAD #plantpathology #colorpalette #plimanshiny #RemoteSensing #RDevelopment #Shiny #DataAnalysis #GIS #DataScience #ExcitingTimes #StayTuned 🌟#pliman #digitalfarming #digitalagronomy #remotesensing #uavs #interactive #visualization #rprogramming #spatialanalysis #rstats #phenotyping #precisionagriculture #imageanalysis #mapview #mapedit #labimages #canopy #geospatial #RemoteSensing #GIS #rspatial #buffer #spatialdata #innovation #orthomosaicimages #digitalagriculture #spatialvariability #plantbreeding #dataanalysis #precisionagriculture 🌟 Stay Tuned for More: Exciting updates, tutorials, and the official launch are on the horizon! Follow #plimanshiny for the latest news. If you have a suggestion or criticism to improve the App, please contact me, and let's together improve the pipeline!