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AquaCropPlotter: A Shiny app for visualizing and analyzing AquaCrop simulation results.

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AquaCropPlotter is a new R Shiny application that simplifies processing and visualizing data from the FAO

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Area of Science:

  • Agricultural Science
  • Computational Science
  • Data Science

Background:

  • The FAO's AquaCrop model aids agricultural management but generates complex output files.
  • Analyzing large datasets from AquaCrop simulations presents a significant bottleneck for researchers.
  • Efficient processing and visualization are crucial for leveraging AquaCrop's full potential.

Purpose of the Study:

  • To develop an R Shiny application, AquaCropPlotter, for streamlined analysis of AquaCrop model outputs.
  • To provide an intuitive tool for processing, visualizing, and analyzing AquaCrop simulation data.
  • To enhance the accessibility and usability of AquaCrop for agricultural research and practice.

Main Methods:

  • Development of AquaCropPlotter as an R Shiny application.
  • Automated processing of AquaCrop output text files into structured data tables.
  • Integration of flexible visualization tools and statistical analysis functionalities.
  • Provision of exportable data tables, plots, and analysis results.

Main Results:

  • AquaCropPlotter successfully automates the processing of AquaCrop output files.
  • The application offers intuitive data exploration, visualization, and statistical analysis.
  • Users can gain insights from AquaCrop simulations without programming expertise.
  • Case study in the Republic of Moldova demonstrated AquaCropPlotter's utility.

Conclusions:

  • AquaCropPlotter significantly reduces the bottleneck in analyzing AquaCrop simulation outputs.
  • The open-source application facilitates broader adoption and application of AquaCrop in agriculture.
  • AquaCropPlotter empowers researchers and practitioners to better utilize water-related crop modeling insights.