Ghent University Academic Bibliography

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Leveraging FSPMs for Unconventional Computing with Plants

Olivier Pieters (UGent) , Tom De Swaef (UGent) , Michiel Stock (UGent) and Francis wyffels (UGent)

(2023)
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- Journal Article
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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- Journal Article
- A1
- open access
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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Leveraging plant physiological dynamics using physical reservoir computing

Olivier Pieters (UGent) , Tom De Swaef (UGent) , Michiel Stock (UGent) and Francis wyffels (UGent)

(2022) SCIENTIFIC REPORTS. 12(1).
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Response of a diverse European soybean collection to 'short duration' and 'long duration' drought stress

Aamir Saleem, Jonas Aper, Hilde Muylle, Irene Borra-Serrano, Paul Quataert, Peter Lootens, Tom De Swaef and Isabel Roldán-Ruiz (UGent)

(2022) FRONTIERS IN PLANT SCIENCE. 13.
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- A2
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On the pivotal role of water potential to model plant physiological processes

Tom De Swaef, Olivier Pieters (UGent) , Simon Appeltans (UGent) , Irene Borra-Serrano, Willem Coudron (UGent) , Valentin Couvreur, Sarah Garré, Peter Lootens, Bart Nicolaï, Leroi Pols, et al.

(2022) IN SILICO PLANTS. 4(1).
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Data collection design for calibration of crop models using practical identifiability analysis

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

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 190.
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MIRRA : a modular and cost-effective microclimate monitoring system for real-time remote applications

Olivier Pieters (UGent) , Emiel Deprost (UGent) , Jonas Van Der Donckt (UGent) , Lore Brosens (UGent) , Pieter Sanczuk (UGent) , Pieter Vangansbeke (UGent) , Tom De Swaef (UGent) , Pieter De Frenne (UGent) and Francis wyffels (UGent)

(2021) SENSORS. 21(13).
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Applying RGB- and thermal-based vegetation indices from UAVs for high-throughput field phenotyping of drought tolerance in forage grasses

Tom De Swaef, Wouter Maes (UGent) , Jonas Aper, Joost Baert, Mathias Cougnon (UGent) , Dirk Reheul (UGent) , Kathy Steppe (UGent) , Isabel Roldán-Ruiz (UGent) and Peter Lootens

(2021) REMOTE SENSING. 13(1).
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- Conference Paper
- C3
- open access
Development of a quantitative comparison tool for plant models

Olivier Pieters (UGent) , Tom De Swaef and Francis wyffels (UGent)

(2020) FSPM2020: Towards Computable Plants; 9th International Conference on Functional-structural Plant Models. p.88-89

Academic Bibliography

Leveraging FSPMs for Unconventional Computing with Plants

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

Leveraging plant physiological dynamics using physical reservoir computing

Response of a diverse European soybean collection to 'short duration' and 'long duration' drought stress

On the pivotal role of water potential to model plant physiological processes

Data collection design for calibration of crop models using practical identifiability analysis

MIRRA : a modular and cost-effective microclimate monitoring system for real-time remote applications

Applying RGB- and thermal-based vegetation indices from UAVs for high-throughput field phenotyping of drought tolerance in forage grasses

Development of a quantitative comparison tool for plant models

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