Learning to classify organic and conventional wheat - a machine-learning driven approach using the MeltDB 2.0 metabolomics analysis platform
We present results of our machine learning approach to the problem of classifying GC-MS data originating from wheat grains of different farming systems. The aim is to investigate the potential of learning algorithms to classify GC-MS data to be either from conventionally grown or from organically gr...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2015-03-01
|
Series: | Frontiers in Bioengineering and Biotechnology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00035/full |