2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Turning spectra into images improves plant trait retrieval with 2D-CNNs
Javier Lopatin, Teja Kattenborn, Eya Cherif +1
Hyperspectral reflectance spectroscopy enables non-destructive estimation of plant functional traits, yet current deep learning approaches process spectra as one-dimensional sequen…
cs.CV2025★ 2 cited
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
Ayushi Sharma, Johanna Trost, Daniel Lusk +14
Global plant maps of plant traits, such as leaf nitrogen or plant height, are essential for understanding ecosystem processes, including the carbon and energy cycles of the Earth s…