Accurate modelling of light–plant interactions requires knowledge on how light interacts with leaves within the canopy, which can be difficult to measure and model in dynamic and heterogeneous canopies. Coussement et al. show that non-destructive, fast measurements of the chlorophyll content index are an accurate predictor for leaf spectral characteristics.
They link this index with the parameters in the PROSPECT radiative transfer model and integrated the model in a soybean virtual plant model. This allows them to more accurately describe light conditions within the canopy, which can aid in a better and dynamic understanding of actual perceived light within a canopy.