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)

In-field detection of Alternaria solani in potato crops using hyperspectral imaging. - Ruben Van de Vijver; Koen C. Mertens; Kurt Heungens; Ben Somers; David Nuyttens; Irene Borra-Serrano; Peter Lootens; Isabel Roldán-Ruiz; Jürgen Vangeyte; Wouter Saeys (Comput. Electron. Agric., 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)

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)

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)

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)

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; et al. (PLoS Comput. Biol., 2023)