Tomas Poblete
Orcid: 0000-0003-1944-6494
According to our database1,
Tomas Poblete
authored at least 12 papers
between 2016 and 2023.
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Bibliography
2023
Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Early Disease Detection with Hyperspectral Imagery: Dynamics of Plant Traits as a Function of Disease Severity Levels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Evaluating the Relative Contribution of Photosystems I and II for Leaf Nitrogen Estimation Using Fractional Depth of Fraunhofer Lines and SIF Derived From Sub-Nanometer Airborne Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Accounting for the Spectral Resolution on Sif Retrieval From a Narrow-Band Airborne Imager Using Scope.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs.
Comput. Electron. Agric., 2021
Assessing the Contribution of Airborne-Retrieved Chlorophyll Fluorescence for Nitrogen Assessment in Almond Orchards.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Comparing the Retrieval of Chlorophyll Fluorescence from Two Airborne Hyperspectral Imagers with Different Spectral Resolutions for Plant Phenotyping Studies.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2018
Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard.
Sensors, 2018
CoRR, 2018
2017
Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture.
Sensors, 2017
Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV).
Sensors, 2017
2016
Estimation of Energy Balance Components over a Drip-Irrigated Olive Orchard Using Thermal and Multispectral Cameras Placed on a Helicopter-Based Unmanned Aerial Vehicle (UAV).
Remote. Sens., 2016