#' home_page UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_home_page_ui <- function(id){
ns <- NS(id)
tagList(
sidebarLayout(
sidebarPanel(
tags$h3(class = "title",
"Application in development..."),
tags$h3(),
tags$p(class = "texto_inicial",
"This project transforms the way we address environmental
challenges by more systematically and consistently studying
the biodiversity of crop gene pools. Platforms for the
discovery of agrobiodiversity, such as the one proposed here
using AI, will allow the adaptability of crops not to depend
exclusively on their intrinsic diversity, probably without
sufficient previous adaptations to unusual climates.This project
will harness modern AI technology to assist in the identification,
characterization and utilization of new adaptive sources among
thousands of landraces and related wild species, all stored in genebanks.."),
tags$h4(class = "version",
"Version 2.0.1")
),
mainPanel(
tags$div(class = "images",
tags$img(src = "https://alimentro.agrosavia.co/Content/imagenes/logo-agrosavia.png", width = "250px", height = "40px"),
tags$img(src = "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/Logotipo_de_la_Universidad_Nacional_de_Colombia.svg/1200px-Logotipo_de_la_Universidad_Nacional_de_Colombia.svg.png", width = "150px", height = "150px"),
tags$img(src = "https://upload.wikimedia.org/wikipedia/en/thumb/f/f4/Kansas_Jayhawks_logo.svg/1200px-Kansas_Jayhawks_logo.svg.png", width = "120px", height = "150px"),
tags$img(src = "https://climaloca.org/wp-content/uploads/alliance_logo_standard_cropped.png", width = "150px", height = "60px")),
tags$h1(class = "title",
"Welcome to AI for Earth"),
tags$h1(),
tags$h4("Artificial intelligence as a tool for
diversity analysis of plant genetic
resources in genebanks"),
tags$p(class = "texto_inicial",
"Plant genetic resources conserved in genebanks have
the potential to harbor agronomically important traits
that can be used to overcome current and future
environmental challenges. However, despite their
importance, these resources remain largely underutilized
around the world. During the last years, the development
of genome sequencing technologies has opened new avenues
in the discovery of relevant genes for various agronomic
traits in multiple crop species. Genebanks and the
scientific community have generated massive amounts of
phenotypic, genotypic, climatic, and geospatial data
related to germplasm accessions. Currently, the challenge
is to efficiently use these high-dimensional datasets to
discover the true potential of plant accessions for breeding
purposes. Although artificial intelligence (AI) tools may
outperform competing methods in extracting hidden insights
from high-dimensional data, their use in studying genebank
accessions is still in its infancy. This situation could
be due to the fact that these tools are relatively new
and applications in the field of plant genetic resources
are still incipient. To address this issue, we propose to
use artificial intelligence tools to comprehensively
analyze the phenotypic, genomic, and environmental data
associated with plant germplasm accessions held in genebanks
to gain a deep understanding of their genetic diversity,
discover useful germplasm in climate change scenarios and
promote their use.")
)
)
)
}
#' home_page Server Functions
#'
#' @noRd
mod_home_page_server <- function(id){
moduleServer( id, function(input, output, session){
ns <- session$ns
})
}
## To be copied in the UI
# mod_home_page_ui("home_page_ui_1")
## To be copied in the server
# mod_home_page_server("home_page_ui_1")
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