Towards indicators for agricultural production through biomathematical modeling using an interactive web platform

Climate change has an impact on agricultural systems, affecting control and management practices. Field knowledge provided by the farmer and theoretical knowledge lack a useful articulation for decision making and the generation of adaptation strategies. Therefore, in our work we created a technological tool, hosted on a web page with the objective of linking knowledge. In the application we incorporate a classical biochemical model that qualitatively represents the vegetative and floral growth of plants. In this paper, we describe in detail the modeling techniques and also report the implementation of the model in the R programming environment and in Shiny (an R package for creating interactive web applications). Thus, we present a new tool, available as an R package and as a web application, that facilitates the nonlinear analysis of plant growth phenomena, provides an ideal environment for generating multidisciplinary dialogues, and allows the creation of quantitative indicators for agricultural production.