In AGROFIMS/ragapi: An R-implementation of the Agronomy API standard (AgAPI) used by Agronomy Fieldbook Management System (AGROFIMS) platform

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Introduction

The aim of document is provide details of how is the new structure of agrofims R-code. We inspire on the amazing package dplyr which hand out multiples types of table and data structures for data munging in R. https://github.com/tidyverse/dplyr/blob/0f7b6abadc0b703a1ee5873d1a823ca26587ad0c/R/data-mask.R https://github.com/tidyverse/dplyr/blob/761b976d9080f1243ff359bc5f08d9a43b12df6c/R/filter.R * https://github.com/tidyverse/dplyr/blob/10a4d36d3dcf4ee5b8f0fbf83b0680d38fa4fe53/R/generics.R

Main classes and sub-classes

Agronomic study super class

Class Name: AgronomicStudy Attributes: - Id: agronomic study id -

The aim of

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-- class (subclass) for experiment details aka agExpDetails(experiment name, experiment id, funding agency,etc) -- class (subclass) for personnel details aka agPersonnel (name, orcid, etc) -- class (subclass) for sites details aka agSites (latitude, longitud, country, etc) -- class (subclass) for crop details aka agCropInfo (crop name, cropping type, crop variety, ) -- class (subclass) for crop measurements/ traits aka agTrait (see https://docs.google.com/spreadsheets/d/1FthwUVFJeokvDWqMm1OuC3N8nCtUNGdVlq9Nob05jWM/edit#gid=0)

-- class (subclass) for management practices -- create sub classes for: residue management,

Experiment details

• create an agrofims object
• upload mapping table in the database and expose via API /equivalences/

AGROFIMS/ragapi documentation built on Nov. 23, 2020, 9:20 a.m.