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Finally, a complete set of plant continuous fluorescence image was collected by Intensification Charge Coupled Device.
In this paper, a new method for evaluating a given set of plant decompositions is proposed.
Based on experiments a set of plant models was derived for each patient.
A set of plant opal particles – phytolith assemblage – found in soils can provide information on the covering vegetation.
A detailed set of plant growth, light absorption and crop yield and oil related parameters were determined.
Thus, when considering such a wide range of functions, information based on a limited set of plant traits might not be sufficient to fully capture multifunctional variability.
Yet, it is not certain that sowing a set of plant species results in the desired vegetation with the desired functional trait composition.
In the present investigation, we provide a comprehensive set of plant species that might be used for long-term and large-scale wastewater treatment.
Since the different plant decomposition may result in a different uncertainty bound, the uncertainty bound is used as an indicator to evaluate a set of plant decompositions from which the best plant decomposition may be determined.
In this paper, a new ν-metric based approach is proposed to design decentralized controllers for multi-unit nonlinear plants that admit a set of plant decompositions in an operating space.
Given a set of plant images captured by a tractor-mounted camera, CLS Rater extracts multi-scale superpixels, where in each scale a novel Histogram of Importances feature encodes both the within-superpixel local and across-superpixel global appearance variations.
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Justyna Jupowicz-Kozak
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