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Pablo J. Zarco-Tejada

University of Melbourne

Carlton

Parkville, 3010

Australia

  • University of Melbourne

SCHOLARLY PAPERS

2

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158

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Scholarly Papers (2)

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1.

Prediction of the Severity of Dothistroma Needle Blight in Radiata Pine Using Plant Based Traits and Narrow Band Indices Derived from UAV Hyperspectral Imagery

Number of pages: 29 Posted: 28 Nov 2022
Michael Watt, Tomas Poblete, Dilshan de Silva, Honey Jane Estarija, Robin J. L. Hartley, Ellen Mae Leonardo, Peter Massam, Henning Buddenbaum and Pablo J. Zarco-Tejada
Scion, University of Melbourne, Scion, Scion, Scion, Scion, Scion, University of Trier and University of Melbourne
Downloads 86 (771,553)

Abstract:

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disease risk assessment, genetic trials, genotypes, machine learning, red band needle blight

2.

Detecting Plant Physiological Changes Under Stress Using Sun-Induced Chlorophyll Fluorescence from Mid-Spectral Resolution Imagery

Number of pages: 60 Posted: 31 Jan 2025
Wonseok Choi, Youngryel Ryu, Hyungsuk Kimm, Anirudhi Belwalkar, Tomas Poblete, Insu Yeon, Jae-Hyun Ryu, Kyungdo Lee and Pablo J. Zarco-Tejada
Seoul National University, Seoul National University, Seoul National University, University of Melbourne, University of Melbourne, Seoul National University, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Melbourne
Downloads 72 (860,052)

Abstract:

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Far-red sun induced chlorophyll fluorescence, spectral fitting method, DCMU, mid spectral resolution imaging spectroscopy