Sharing the Right Data Right: A Symbiosis with Machine Learning

Sotirios A. Tsaftaris; Hanno Scharr

doi:10.1016/j.tplants.2018.10.016

Sharing the Right Data Right: A Symbiosis with Machine Learning

Sotirios A. Tsaftaris^*, Hanno Scharr

^*Corresponding author for this work

School of Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In 2014 plant phenotyping research was not benefiting from the machine learning (ML) revolution because appropriate data were lacking. We report the success of the first open-access dataset suitable for ML in image-based plant phenotyping suitable for machine learning, fuelling a true interdisciplinary symbiosis, increased awareness, and steep performance improvements on key phenotyping tasks.

Original language	English
Journal	Trends in plant science
Volume	24
Issue number	2
Early online date	26 Nov 2018
DOIs	https://doi.org/10.1016/j.tplants.2018.10.016
Publication status	Published - Feb 2019

Keywords

deep learning
machine learning
open data
plant phenotyping

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10.1016/j.tplants.2018.10.016

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title = "Sharing the Right Data Right: A Symbiosis with Machine Learning",

abstract = "In 2014 plant phenotyping research was not benefiting from the machine learning (ML) revolution because appropriate data were lacking. We report the success of the first open-access dataset suitable for ML in image-based plant phenotyping suitable for machine learning, fuelling a true interdisciplinary symbiosis, increased awareness, and steep performance improvements on key phenotyping tasks.",

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Sharing the Right Data Right: A Symbiosis with Machine Learning

Abstract

Keywords

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