MODELING OF PHYSIOLOGY RELATED CHANGES IN A VIRTUAL CITRUS ORCHARD AS DETECTED BY REMOTE SENSING PLATFORMS
Recent advances in remote sensing platforms and the increasing accessibility of time series have proven their potential use in agronomic production processes. Relating detected trends to physiological processes, however, poses issues caused by the interaction of reinforcing or antagonistic non-linear trends. A bottom-up modeling approach is used to gain insights in the potential of remote sensing to monitor citrus production processes. Physiologically related morphological and spectral responses of Valencia citrus trees are simulated in a realistic virtual orchard with explicit canopy geometry. The modeling of plausible tree geometries, orchard layout and leaf, stem, and soil spectra (400-2500 nm) are outlined. A reference orchard was set up and calibrated using measurements of spectra and canopy structure and orchard layout. Physiological changes are simulated in scenarios and compared to a reference situation. These include the effects of citrus and weed leaf chlorosis, changes in leaf area, bending of leaves, leaf curl, and crop load. Additional simulations analyze the effects of different illuminations and compare physiologically induced changes to the natural variability in orchards.
Stuckens, J., Somers, B., Verstraeten, W.W. and Coppin, P. (2009). MODELING OF PHYSIOLOGY RELATED CHANGES IN A VIRTUAL CITRUS ORCHARD AS DETECTED BY REMOTE SENSING PLATFORMS. Acta Hortic. 824, 37-48
ray-tracing, 3D modeling, simulation, satellite