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Plant architectures generally display structural variations among individuals. Stochastic FSPMs have been developed to capture such feature, but calibrating such models is a challenging issue. For GreenLab model, parameter identification has been achieved on several crops and trees, but the estimation of functional parameters is mostly limited to plants with deterministic development. In this work,...
We outline an approach for full 3-D electromagnetic analysis of stochastically generated trees. It starts from the stochastic model of trees assembled of cylinders with circular cross-section of different radii followed by processing that model in CAD tool, specifically tailored and coded for all-quad meshing. The final closed-surface dielectric model is simulated using a desktop computer equipped...
At present, many research works focus on modeling trees and simulating the motion of trees in the wind. However, less work has been done in the representation of branch breaking and flying under the strong wind. The mechanism for branch breaking is discussed, and a branch breaking model is built. The motion of the broken branch can be divided into two phases. In the first phase, the broken branch...
In this paper, the applicability of a procedure for retrieval of vegetation parameters using a coherent scattering model that considers the botanical properties of Sahelian grassland and a stochastic optimization algorithm is studied. This African vegetation is mainly composed of shrubs and grass. Since the coherent scattering model is computationally time-consuming, a simplified empirical model is...
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