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The three topographic attributes were developed using a digital elevation model (DEM) derived from light detection and ranging (LiDAR) data.
The modules responsible for predicting biomass and carbon outcomes, and log and fibre quality attributes, were developed using data obtained from initial espacement and thinning experiments.
First, a sensory profile on 20 virtual rose bushes videos for which 12 plant morphology-related sensory attributes were developed is presented.
Habitat attributes were developed from forest inventory data and other information at the stand level and in circular buffers with radii of 250, 500 m, and 1 km around each sample point.
The attributes were developed via qualitative interviews with older people about what was important to them in terms of their quality of life [ 10, 11].
The second section of the results explains the iterative process and how the DCE attributes and levels within the attributes were developed.
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The data were used for successful product development and a product series with coherent attributes was developed.
Body part dimensions vary in different ethnic groups, so the most accurate statistical estimations of biological attributes are developed using population-specific standards.
In this study, a new SQI that synthesizes soil attributes is developed using partial least squares regression (PLSR), and compared with crop yields.
To demonstrate the utility and effectiveness of the proposed entropy measures, an entropy-based approach of determining objective weights of attributes is developed to solve multiple-attribute decision-making problems in the context of linguistic term sets.
Based on these findings, a collage and focus group study aiming to identify feelings, emotions and experiences of consumers towards Home Meal Replacements, as well as relevant product attributes, is developed and performed.
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