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Fast and accurate models for plant disease identification are desired so that accurate measures can be applied early.
Disease forecasting methods by simulation models for plant diseases have a great potentiality in practical disease control strategies.
The results obtained using the present model and several other typical (k ε) turbulence models for plant canopy flows were compared through eight experiments.
The results of this model can be easily connected to biological process models for plant growth modelling and feasible design of algae cultivation system.
By defining exergy balances and black-box models for plant units, investigation has been made to determine effect of each unit on the overall exergy efficiency.
These gene expression data are discussed in light of current models for plant responses to the spaceflight environment and with regard to potential future spaceflight experiment opportunities.
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To validate the models for planted kauri, the one-at-a-time cross-validation method was used.
To fully develop micromechanical models for plants, such as bamboo, the mechanical properties of each individual type of tissue are needed.
Current genomic data are insufficient to build separate robust regression models for plants.
In this work we propose a complete model for plant simulation with different wiring diagrams and under dynamic shading.
This engineered T. halophila provides a better research model for plant salt tolerance studies than wild-type T. halophila.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com