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: Medha Devare, Céline Aubert, Omar Eduardo Benites Alfaro, Ivan Omar Perez Masias, Marie-Angélique Laporte
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Sustainable Food Systems
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2021.726646/full