Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Jürgen Vangeyte; Aleksandra Pizurica; Yong He 001; Jan G. Pieters (Int. J. Appl. Earth Obs. Geoinformation, 2018)

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)

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)

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)

Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Erik Alexandersson; Jan G. Pieters (CoRR, 2022)

Multispectral UAV-Based Monitoring of Leek Dry-Biomass and Nitrogen Uptake across Multiple Sites and Growing Seasons. - Jérémie Haumont; Peter Lootens; Simon Cool; Jonathan Van Beek; Dries Raymaekers; Eva M. Ampe; Tim De Cuypere; Onno Bes; Jonas Bodyn; Wouter Saeys (Remote. Sens., 2022)

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)

Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Wenxin Xue; Erik Alexandersson; Jan G. Pieters (Expert Syst. Appl., 2024)