Ghent University Academic Bibliography

Your filters: cql: author="Lootens, Peter" or (type any "bookEditor issueEditor" and editor="Lootens, Peter")

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- Journal Article
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Indigenous Bradyrhizobium strains enhance nodulation and yield of early maturing soybean in Belgium

Margo Vermeersch, Paul Quataert, Chris Van Waes, Sofie Goormachtig (UGent) , Niel Verbrigghe, Peter Lootens, Isabel Roldán-Ruiz (UGent) and Joke Pannecoucque (UGent)

(2026) FRONTIERS IN PLANT SCIENCE. 17.
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Optimizing plant production through drone-based remote sensing and label-free instance segmentation for individual plant phenotyping

Ruth Hofman (UGent) , Joris Mattheijssens (UGent) , Johan Van Huylenbroeck, Jan Verwaeren (UGent) and Peter Lootens

(2025) HORTICULTURAE. 11(9).
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- Research Data
Species-level monitoring of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning models - Additional data and files

Broes Laekeman (UGent) , Jochem Bonte, Wannes Dermauw, Annelies Christiaens, Bruno Gobin, Johan Van Huylenbroeck, Emmy Dhooghe (UGent) and Peter Lootens

(2025)
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Species-level detection of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning detection models

Broes Laekeman (UGent) , Jochem Bonte, Wannes Dermauw, Annelies Christiaens, Bruno Gobin, Johan Van Huylenbroeck, Emmy Dhooghe (UGent) and Peter Lootens

(2025) FRONTIERS IN PLANT SCIENCE. 16.
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Agroforlight : 3D light distribution modelling in agroforestry systems using high-resolution tree LiDAR scans

Tom De Swaef, Willem Coudron, Toon Baeyens (UGent) , Kim Calders (UGent) , Peter Lootens, Paul Pardon, Bert Reubens, Sanne Van Den Berge (UGent) , Pieter De Frenne (UGent) and Kris Verheyen (UGent)

(2025) AGROFORESTRY SYSTEMS. 99(5).
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Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images

Junfeng Gao, Wenzhi Liao (UGent) , David Nuyttens, Peter Lootens, Erik Alexandersson and Jan Pieters (UGent)

(2024) EXPERT SYSTEMS WITH APPLICATIONS. 246.
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- Journal Article
- A1
Phenotypic characterization of drought responses in red clover (Trifolium pratense L.)

Tim Vleugels, Aamir Saleem, Reena Dubey (UGent) , Hilde Muylle, Irene Borra-Serrano, Peter Lootens, Tom De Swaef and Isabel Roldan-Ruiz

(2024) FRONTIERS IN PLANT SCIENCE. 14.
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- Conference Paper
- C3
- open access
Real-time computer vision-based cultivation control system for ornamental vertical farming

Broes Laekeman (UGent) , Annelies Christiaens, Lise De Clerck, Bruno Gobin (UGent) , Johan Van Huylenbroeck, Emmy Dhooghe (UGent) and Peter Lootens

(2023) VertiFarm2024 - Book of Abstracts. In UrbanFarm (Bologna) 11. p.92-92
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Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability

Willem Coudron, Pieter De Frenne (UGent) , Kris Verheyen (UGent) , Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet and Tom De Swaef

(2023) FRONTIERS IN PLANT SCIENCE. 14.
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Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression

Sam De Meyer (UGent) , Daniel Felipe Cruz Galvis (UGent) , Tom De Swaef (UGent) , Peter Lootens, Jolien De Block (UGent) , Kevin Bird, Heike Sprenger (UGent) , Michael Van de Voorde (UGent) , Stijn Hawinkel (UGent) , Tom Van Hautegem (UGent) , et al.

(2023) PLOS COMPUTATIONAL BIOLOGY. 19(5).

Academic Bibliography

Indigenous Bradyrhizobium strains enhance nodulation and yield of early maturing soybean in Belgium

Optimizing plant production through drone-based remote sensing and label-free instance segmentation for individual plant phenotyping

Species-level monitoring of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning models - Additional data and files

Species-level detection of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning detection models

Agroforlight : 3D light distribution modelling in agroforestry systems using high-resolution tree LiDAR scans

Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images

Phenotypic characterization of drought responses in red clover (Trifolium pratense L.)

Real-time computer vision-based cultivation control system for ornamental vertical farming

Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability

Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression

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