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Mathematical modeling of plant growth has gained increasing interest in recent years due to its potential applications.
This neurofuzzy approach represents an effective structure to the modeling of plant dynamics, and the oriented-object programming environments offer an intuitive way to address this task.
Rapid, objective, and repeatable methods are needed to measure these vegetative parameters to advance our understanding and modeling of plant ecophysiological processes.
Plasticity is acknowledged to be important in forest ecology ([17]) and in plant ecology in general ([19]), but it has been included in spatial modeling of plant communities only rarely ([20], [21], [22], [23]).
These results provide a basis for broad-based predictive modeling of plant gene expression in the field.
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Modeling of plants to be controlled is an important step in control system designs.
In complex industrial plants, there are usually many sensors and the modeling of plants leads to lots of mathematical relations.
In the end it is experiments that should resolve the issue and we hope that this investigation can serve as an inspiration both for new experiments and for modelers to include multiple receptors in models of plant stem cell regulation.
Homology modeling technique has been used to build three-dimensional models of plant MIPs and it helped to identify different structural subclasses based on the residues in the ar/R selectivity filter [ 21, 66].
Fig. 1 Model of plant innate immunity.
The humped-back model of plant species diversity is confirmed by a global grassland survey.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com