AgroFIMS: A tool to enable digital collection of standards-compliant FAIR data

Agricultural research has been traditionally driven by linear approaches dictated by hypothesis-testing. With the advent of powerful data science capabilities, predictive, empirical approaches are possible that operate over large data pools to discern patterns. Such data pools need to contain well-d...

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Bibliographic Details

Main Authors:	Devare, Medha, Aubert, Céline, Benites Alfaro, Omar Eduardo, Pérez Masias, Ivan Omar, Laporte, Marie-Angélique
Format:	Journal Article
Language:	Inglés
Published:	Frontiers Media 2021
Subjects:	data agriculture data collection standards digital records interoperability agricultura normas colección de datos interoperabilidad horticulture ecology food science
Online Access:	https://hdl.handle.net/10568/115543