TSWIFT: Tower Spectrometer on Wheels for Investigating Frequent Timeseries for high-throughput phenotyping of vegetation physiology

Abstract Background Remote sensing instruments enable high-throughput phenotyping of plant traits and stress resilience across scale. Spatial (handheld devices, towers, drones, airborne, and satellites) and temporal (continuous or intermittent) tradeoffs can enable or constrain plant science applica...

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Bibliographic Details
Published in:Plant Methods
Main Authors: Christopher Y. S. Wong, Taylor Jones, Devin P. McHugh, Matthew E. Gilbert, Paul Gepts, Antonia Palkovic, Thomas N. Buckley, Troy S. Magney
Format: Article
Language:English
Published: BMC 2023-03-01
Subjects:
High-throughput phenotyping
Hyperspectral reflectance
NDVI
PRI
Remote sensing
SIF
Online Access:https://doi.org/10.1186/s13007-023-01001-5

Internet

https://doi.org/10.1186/s13007-023-01001-5

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