Peter Lootens

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Hyperspectral Imaging

Gene Expression

Top Venues

Comput. Electron. Agric.

Publications

Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Wenxin Xue, Erik Alexandersson, Jan G. Pieters
Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images. Expert Syst. Appl. 246 (2024)
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)
Jérémie Haumont, Peter Lootens, Simon Cool, Jonathan Van Beek, Dries Raymaekers, Eva M. Ampe, Tim De Cuypere, Onno Bes, Jonas Bodyn, Wouter Saeys
Multispectral UAV-Based Monitoring of Leek Dry-Biomass and Nitrogen Uptake across Multiple Sites and Growing Seasons. Remote. Sens. 14 (24) (2022)
Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Erik Alexandersson, Jan G. Pieters
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming. CoRR (2022)
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 (2021)
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) (2021)
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) (2021)
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) (2020)
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) (2020)
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 (2020)
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
in potato crops using hyperspectral imaging. Comput. Electron. Agric. 168 (2020)
Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Jürgen Vangeyte, Aleksandra Pizurica, Yong He, Jan G. Pieters
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. Int. J. Appl. Earth Obs. Geoinformation 67 (2018)