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A hyperspectral plant health monitoring system for space crop production

Compact and automated sensing systems are needed to monitor plant health for NASA’s controlled-environment space crop production. A new hyperspectral system was designed for early detection of plant stresses using both reflectance and fluorescence imaging in visible and near-infrared (VNIR) waveleng...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jianwei Qin, Oscar Monje, Matthew R. Nugent, Joshua R. Finn, Aubrie E. O’Rourke, Kristine D. Wilson, Ralph F. Fritsche, Insuck Baek, Diane E. Chan, Moon S. Kim
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-07-01
Schriftenreihe:Frontiers in Plant Science
Schlagworte:
hyperspectral imaging
reflectance
fluorescence
machine learning
plant stress
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fpls.2023.1133505/full
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