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Journal Articles
- 2024
[j11]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: 122980 (2024)- 2023
- [j10]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) - 2022
- [j9]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): 6211 (2022) - 2021
- [j8]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: 106457 (2021) - [j7]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): 147 (2021) - [j6]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): 3459 (2021) - 2020
- [j5]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-field detection of Alternaria solani in potato crops using hyperspectral imaging. Comput. Electron. Agric. 168 (2020) - [j4]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: 105825 (2020) - [j3]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): 1644 (2020) - [j2]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): 3055 (2020) - 2018
- [j1]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: 43-53 (2018)
Informal and Other Publications
- 2022
- [i1]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 abs/2210.11545 (2022)
Coauthor Index
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