📣 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.

Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation (2018)

First Author: Han L
Attributed to:  PAFiC: Precision Agriculture for Family-farms in China funded by Newton Fund

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/rs10101528

Publication URI: http://dx.doi.org/10.3390/rs10101528

Type: Journal Article/Review

Parent Publication: Remote Sensing

Issue: 10