Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV‐based remote sensing and machine learning

Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV‐based remote sensing and machine learning

Abstract Miscanthus is a leading perennial biomass crop that can produce high yields on marginal lands. Moisture content is a highly relevant biomass quality trait with multiple impacts on efficiencies of harvest, transport, and storage. The dynamics of moisture content during senescence and overwin...

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Bibliographic Details
Main Authors: Giorgio Impollonia, Michele Croci, Enrico Martani, Andrea Ferrarini, Jason Kam, Luisa M. Trindade, John Clifton‐Brown, Stefano Amaducci
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:GCB Bioenergy
Subjects:
GAM
high‐throughput plant phenotyping
machine learning
Miscanthus
moisture content
multispectral
Online Access:https://doi.org/10.1111/gcbb.12930

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