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

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
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
Series:Remote Sensing
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

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