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2020 – today
- 2024
[j9]Jenniffer Carolina Triana-Martinez
, Andrés Marino Álvarez-Meza, Julián Gil González, Tom De Swaef, Jose Armando Fernandez-Gallego:
Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot. Remote. Sens. 16(15): 2854 (2024)- 2023
- [j8]Sam De Meyer, Daniel Felipe Cruz, Tom De Swaef, Peter Lootens, Jolien De Block, Kevin Bird, Heike Sprenger, Michael Van de Voorde, Stijn Hawinkel, Tom Van Hautegem, Dirk Inzé, Hilde Nelissen, Isabel Roldán-Ruiz, Steven Maere:
Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression. PLoS Comput. Biol. 19(5) (2023) - 2021
- [j7]Willem Coudron, Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet, Kris Verheyen, Pieter De Frenne, Tom De Swaef:
Data collection design for calibration of crop models using practical identifiability analysis. Comput. Electron. Agric. 190: 106457 (2021) - [j6]Tom De Swaef, Wouter H. Maes, Jonas Aper, Joost Baert, Mathias Cougnon, Dirk Reheul, Kathy Steppe, Isabel Roldán-Ruiz, Peter Lootens:
Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses. Remote. Sens. 13(1): 147 (2021) - [j5]Joanna Pranga, Irene Borra-Serrano, Jonas Aper, Tom De Swaef, An Ghesquiere, Paul Quataert, Isabel Roldán-Ruiz, Ivan A. Janssens, Greet Ruysschaert, Peter Lootens:
Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning. Remote. Sens. 13(17): 3459 (2021) - [j4]Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne, Francis Wyffels:
MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications. Sensors 21(13): 4615 (2021) - 2020
- [j3]Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels:
Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions. Comput. Electron. Agric. 179: 105825 (2020) - [j2]Irene Borra-Serrano, Tom De Swaef, Paul Quataert, Jonas Aper, Aamir Saleem, Wouter Saeys, Ben Somers, Isabel Roldán-Ruiz, Peter Lootens:
Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials. Remote. Sens. 12(10): 1644 (2020) - [j1]Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels:
Gloxinia - An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants. Sensors 20(11): 3055 (2020)
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