Tom De Swaef

According to our database, Tom De Swaef authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot.

Jenniffer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, Julián Gil González, Tom De Swaef, Jose Armando Fernandez-Gallego

Remote. Sens., August, 2024

2023

Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression.

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

PLoS Comput. Biol., 2023

2021

MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications.

Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne, Francis Wyffels

Sensors, 2021

Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses.

Tom De Swaef, Wouter H. Maes, Jonas Aper, Joost Baert, Mathias Cougnon, Dirk Reheul, Kathy Steppe, Isabel Roldán-Ruiz, Peter Lootens

Remote. Sens., 2021

Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning.

Joanna Pranga, Irene Borra-Serrano, Jonas Aper, Tom De Swaef, An Ghesquiere, Paul Quataert, Isabel Roldán-Ruiz, Ivan A. Janssens, Greet Ruysschaert, Peter Lootens

Remote. Sens., 2021

Data collection design for calibration of crop models using practical identifiability analysis.

Willem Coudron, Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet, Kris Verheyen, Pieter De Frenne, Tom De Swaef

Comput. Electron. Agric., 2021

2020

Gloxinia - An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.

Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels

Sensors, 2020

Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials.

Irene Borra-Serrano, Tom De Swaef, Paul Quataert, Jonas Aper, Aamir Saleem, Wouter Saeys, Ben Somers, Isabel Roldán-Ruiz, Peter Lootens

Remote. Sens., 2020

Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions.

Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels

Comput. Electron. Agric., 2020