📣 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.

Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning (2023)

First Author: Yuan Z

Attributed to: Arable - NemaRecognition: An AI-and molecular-driven pipeline for throughput plant parasitic nematode recognition funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/trustcom60117.2023.00344

Publication URI: http://dx.doi.org/10.1109/trustcom60117.2023.00344

Type: Conference/Paper/Proceeding/Abstract