Title:
Assessing Biomass Variability in Salicornia Europaea L. Populations: Leveraging Computer Vision to Distinguish Salt-tolerance Traits
Author(s):
Cárdenas-Pérez, S., Grigore, M.N., Piernik, A.
Document(s):
Paper
Poster
Abstract:
Salicornia europaea is a highly promising halophyte species for bio-based applications, particularly in saline agriculture and sustainable biomass production. To assess its phenotypic responses to salinity stress, we implemented a non-destructive computer vision system (CVS) to quantify morphometric and colour traits. By analyzing 96 plants grown under a gradient of salinity treatments, we developed a robust multivariate model that demonstrated a strong correlation between projected area and fresh weight (r = 0.92). Moreover, the model achieved 100% classification accuracy in distinguishing salt tolerance phenotypes. This CVS-based approach offers a scalable, rapid, and reproducible phenotyping tool suitable for breeding programs, trait-based selection, and ecological monitoring in saline environments.
Keywords:
biomass estimation, computer vision, salt tolerance functional traits, non-destructive approach, real-time phenotyping
Topic:
Sustainable Resources for Decarbonising the Economy
Subtopic:
Biomass resources and potentials
Event:
33rd European Biomass Conference and Exhibition
Session:
1BV.3.4
Pages:
110 - 111
ISBN:
978-88-89407-25-7
Paper DOI:
10.5071/33rdEUBCE2025-1BV.3.4
Price:
FREE
