Peter Lootens

According to our database, Peter Lootens authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

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., December, 2022

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

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

In-field detection of <i>Alternaria solani</i> 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

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

2018

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, Jan G. Pieters

Int. J. Appl. Earth Obs. Geoinformation, 2018