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Email

tomas.pobletecisterna@unimelb.edu.au

Credentials


Position
Lecturer, Precision Agriculture & Remote Sensing
School of Agriculture, Food and Ecosystem Sciences
Education
PhD
University of Talca
Bachelors Degree
University of Talca
ORCID

0000-0003-1944-6494

Dr Tomas Poblete Cisterna

Lecturer, Precision Agriculture & Remote Sensing
School of Agriculture, Food and Ecosystem Sciences

48 Scholarly works
8 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Divergent sensitivity of red and far-red Fraunhofer line fluorescence in-filling to water stress dynamics in almond orchards
    DOI: 10.1016/j.rse.2026.115375
  • 2026

    Journal article

    Mitigating the phenological influence on spectroscopic quantification of rice blast disease severity with extended PROSAIL simulations
    DOI: 10.1016/j.rse.2025.115063
  • 2026

    Journal article

    Detecting plant physiological changes under stress using sun-induced chlorophyll fluorescence from mid-spectral resolution imagery
    DOI: 10.1016/j.rse.2025.115085
  • 2026

    Journal article

    Airborne Subnanometer Hyperspectral Imaging Reveals Early Biotic-Stress Symptoms via Fraunhofer Lines
    DOI: 10.1109/LGRS.2026.3680303
  • 2021

    Research contracts (non-grants)

    Boundary Bend-Precision Agriculture and Hyperspectral Remote Sensing Technologies for Olive Orchard Management
  • 2021

    Research Grant

    Harnessing the Power of Airborne High Spatial Resolution Hyperspectral Imagery for the Softwood Plantation Industry
  • 2020

    Research Contracts

    Artificial Intelligence Methods for Early Disease Detection Using Hyperspectral and Thermal Imagery
Tomas Poblete Cisterna

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Hyperspectral Remote Sensing for Monitoring Crop Disease: Applications, challenges, and perspectives
    DOI: 10.1109/MGRS.2025.3603640
  • 2025

    Journal article

    Distinct contribution of the blue spectral region and far-red solar-induced fluorescence to needle nitrogen and phosphorus assessment in coniferous nutrient trials with hyperspectral imagery
    DOI: 10.1016/j.rse.2025.114915
  • 2025

    Journal article

    Coupling spaceborne Solar-Induced Fluorescence and PRI to explain water stress variability in almond
    DOI: 10.62880/rars25006
  • 2025

    Journal article

    A two-step approach to mitigating phenological influences on spectroscopic detection of rice blast and removing pseudo severity estimates in healthy plants
    DOI: 10.1016/j.compag.2025.110458
  • 2025

    Journal article

    Chlorophyll content estimation in radiata pine using hyperspectral imagery: A comparison between empirical models, scaling-up algorithms, and radiative transfer inversions
    DOI: 10.1016/j.agrformet.2025.110402
  • 2025

    Journal article

    Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery
    DOI: 10.1007/s11119-024-10198-x

RECENT PROJECTS

  • 2025

    Research grants (other domestic)

    Survival Signatures for Horticulture Industry Resilience to Drought
  • 2024

    Research contracts (non-grants)

    Optimizing Yield Monitoring: Scaling Hyperspectral Data to Multispectral Remote Sensing

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