Ghent University Academic Bibliography

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

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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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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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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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- C3
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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).
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Functional annotation of proteins for signaling network inference in non-model species

Lisa Van den Broeck (UGent) , Dinesh Kiran Bhosale, Kuncheng Song, Cássio Flávio Fonseca de Lima, Michael Ashley, Tingting Zhu (UGent) , Shanshuo Zhu, Brigitte Van De Cotte (UGent) , Pia Neyt (UGent) , Anna C. Ortiz, et al.

(2023) NATURE COMMUNICATIONS. 14(1).
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Germination kinetics and chlorophyll fluorescence imaging allow for early detection of alkalinity stress in Rhododendron species

Shusheng Wang, Leen Leus, Peter Lootens, Johan Van Huylenbroeck and Marie-Christine Van Labeke (UGent)

(2022) HORTICULTURAE. 8(9).
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Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

Lidong Ren, Wim Cornelis (UGent) , Greet Ruysschaert, Jan De Pue, Peter Lootens and Tommy D'Hose

(2022) GEODERMA. 424.

Academic Bibliography

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

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

Functional annotation of proteins for signaling network inference in non-model species

Germination kinetics and chlorophyll fluorescence imaging allow for early detection of alkalinity stress in Rhododendron species

Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

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