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UAV-derived canopy volume predicts leaf biomass in pollarded forage trees

Mesbahi, Geoffrey; Roy, Eric; Kadiri, Yasmine and Novak, Sandra (2026) UAV-derived canopy volume predicts leaf biomass in pollarded forage trees. Speech at: Agroforestry at the Heart of Europe 2026. 8th European EURAF Conference, Neuchâtel, Switzerland, 22-26 June, 2026. [Completed]

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Summary

Highlieghts
- UAV RGB imagery was used to estimate leaf biomass of forage trees.
- A high-resolution digital surface model (5 mm) was generated by photogrammetry.
- Tree canopy volume and species identity were key predictors of leaf biomass.


EPrint Type:Conference paper, poster, etc.
Type of presentation:Speech
Keywords:Drone, Biomass, Fodder tree, RGB, agroforestry
Agrovoc keywords:
Language
Value
URI
English
agroforestry
http://aims.fao.org/aos/agrovoc/c_207
English
drones (unmanned aerial vehicles) -> unmanned aerial vehicles
http://aims.fao.org/aos/agrovoc/c_3eb20052
English
yields
http://aims.fao.org/aos/agrovoc/c_8488
Subjects: Crop husbandry > Production systems > Pasture and forage crops
Research affiliation: Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Animal > Animal nutrition
France > INRAe - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Deposited By: Mesbahi, Dr Geoffrey
ID Code:57845
Deposited On:30 Jun 2026 13:01
Last Modified:30 Jun 2026 13:01
Document Language:English
Status:Unpublished
Refereed:Peer-reviewed and accepted

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