UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of <i>Miscanthus</i> by Machine Learning Techniques

<i>Miscanthus</i> holds a great potential in the frame of the bioeconomy, and yield prediction can help improve <i>Miscanthus’</i> logistic supply chain. Breeding programs in several countries are attempting to produce high-yielding <i>Miscanthus</i> hybrids bette...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Giorgio Impollonia, Michele Croci, Andrea Ferrarini, Jason Brook, Enrico Martani, Henri Blandinières, Andrea Marcone, Danny Awty-Carroll, Chris Ashman, Jason Kam, Andreas Kiesel, Luisa M. Trindade, Mirco Boschetti, John Clifton-Brown, Stefano Amaducci
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Subjects:	<i>Miscanthus</i> remote sensing UAV multispectral images high-throughput phenotyping machine learning
Online Access:	https://www.mdpi.com/2072-4292/14/12/2927