Over the years, modeling has become an integral part of plant disease epidemiology (or botanical epidemiology). As in other fields of research, modeling in plant disease epidemiology may serve very different purposes, including: synthesizing available data on epidemiological processes; predicting epidemiological patterns; developing a conceptual framework that captures available data; organizin...

Previous work in the animation of plant development and expansion has centered on the botom-up approach, whereby models are specified in terms of developmental ruls. These models are inherently difficult to use for goal oriented modeling as the final structure and development of these models are emergent properties. Top-down modeling has previously been introduced to remedy this problem by allo...

Functional-structural plant modeling and plant phenotyping require the measurement of geometric features in specimens. This data acquisition is called plant digitizing. Actually, these measurements are performed manually, in invasive or even destructive ways, or using expensive laser scanning equipment. Computer vision based 3D reconstruction is an accurate and low cost alternative for the digi...

Modeling of plant metabolism offers new approaches to improve the understanding of complex biological processes. In this paper we present a framework for the constraintbased stoichiometric analysis of crop plant metabolic models, which combines tools for (1) model reconstruction, (2) model analysis (i.e. flux balance analysis), and (3) model visualization. The approach is illustrated by describ...

A tool environment for the formal veriication of logic controllers for switched continuous systems is presented. It supports a model-based veriication approach which builds on diierent models of the controller and the plant. The architecture consists of a hierarchical plant modeling editor, a translator for the input of controllers given in IL code, and an interface to integrate available model...

Expressive models of the work processes performed in the chemical and process industries provide a basis for diverse applications like work process documentation, analysis, and enactment. In this contribution, we present a generic modeling language for different types of work processes to allow for their integrated representation in the life cycle of a chemical plant. Further, the generic langu...

To support their sessile and autotrophic lifestyle higher plants have evolved elaborate networks of metabolic pathways. Dynamic changes in these metabolic networks are among the developmental forces underlying the functional differentiation of organs, tissues and specialized cell types. They are also important in the various interactions of a plant with its environment. Further complexity is ad...

A new dynamic systems modeling approach, based on self-organizing neural networks, is presented. An adaptive control strategy that utilizes this modeling method is proposed, and it is experimented in the control of a pH process plant.