📣 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.

Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography. (2018)

First Author: Liu W

Attributed to: Enabling wide area persistent remote sensing for agriculture applications by developing and coordinating multiple heterogeneous platforms funded by Newton Fund

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1094/pdis-12-17-1893-re

PubMed Identifier: 30125137

Publication URI: http://europepmc.org/abstract/MED/30125137

Type: Journal Article/Review

Volume: 102

Parent Publication: Plant disease

Issue: 10

ISSN: 0191-2917