📣 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.

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field. (2018)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.compind.2018.02.002

PubMed Identifier: 29997402

Publication URI: http://europepmc.org/abstract/MED/29997402

Type: Journal Article/Review

Volume: 97

Parent Publication: Computers in industry

ISSN: 0166-3615