📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images. (2019)

First Author: Atanbori J

Attributed to: High throughput phenotyping of novel root traits for early stage root bulking in cassava using an Aeroponic imaging platform funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fpls.2019.01516

PubMed Identifier: 31850020

Publication URI: http://europepmc.org/abstract/MED/31850020

Type: Journal Article/Review

Volume: 10

Parent Publication: Frontiers in plant science

ISSN: 1664-462X