Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images.

The development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to ra...

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Bibliographic Details

Main Author:	WANG, X. (author)
Other Authors:	SILVA, P. (author), BELLO, N.M. (author), SINGH, D. (author), EVERS, B. (author), SINGH, R.P. (author), POLAND, J. (author)
Format:	article
Language:	English
Published:	2020
Subjects:	HIGH-THROUGHPUT PHENOTYPING UNMANNED AERIAL SYSTEMS CANOPY TEMPERATURE NORMALIZED DIFFERENCE VEGETATION INDEX GROUND COVER WHEAT TRIGO
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=61531&biblioteca=vazio&busca=61531&qFacets=61531
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