Structural 3D plant models aim at mimicking the dynamics of plant and crop structure based on experimental data.
Climate variability influences the development of crop diseases, including through an effect on crop structure and hence on the microclimate.
The eventual industrialization of perennial bioenergy crops will aim to maximize biomass production which, especially in monocultural systems, will likely result in a uniformly tall, dense crop structure.
It comprises a standard crop interface to the APSIM engine, a generic crop model structure, a crop process library, and well-structured crop parameter files.
Climate warming increases the active accumulated temperature (AAT) of crops and may change crop structures and patterns.
The objective of our study was to assess how matrix type (improved pasture, native pasture or crop) and structure (grass height) influence fine-scale reptile movement, as well as influences of crop sowing direction and setting-sun position.
With the advance of growth stages, however, crop canopy structure and aerial biomass will vary greatly, which negatively influences the relationships between spectral indices and the crop canopy N status.
Second, crop canopy structure may have a substantial role.
Existing models of canopy photoinhibition can predict the impact of ΦCO2 changes on canopy photosynthesis, using different approaches such as ray tracing within high resolution images of crop canopy structure to track light fluctuations in time according to canopy position (e.g. Ogren 1993; Werner et al. 2001; Zhu et al. 2004; Burgess et al. 2015).
Other plant – dependant factors would include the plant species involved, the nature of the harvested crop, the structure of the cuticle, the stage and the general condition of the plant, in addition to the relation between the treated surface and its weight and living state of the plant surface (Khay et al. 2008; Cabras et al. 1990).
