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In this context, our study tests the usefulness of the BMC tool for research on agricultural green care.
The present work tests the usefulness of the information provided by a group of basic meteorological stations focused on agricultural monitoring.
This paper tests the usefulness of a multilevel model (MLM) for explaining the spatial occurrence of road accidents; it also shows and confirms how far the characteristics of the geographical environment influence the location and concentration of road accidents at two levels of spatial aggregation.
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Since these characteristics of simulated images are known exactly, one can employ them to test the usefulness of algorithm used in characterizing diameter and other structural features.
The Salento (Italy) artisanal fisheries case study is used to test the usefulness of our approach.
A collection of indica elite breeding lines and cultivars assembled in IRRI was used to test the usefulness of 39 well characterized yield related genes/QTL.
This study also allowed us to test the usefulness of in silico cloning to identify and map new genes in a focussed region of the genome.
Further study is needed to test the usefulness of this genotyping system using a large wheat population set.
To test the usefulness of this new framework, experiments using datasets from the American Meteorological Society (AMS), solar radiation prediction contest [7] and from the 2014 Global Energy Forecasting Competition (GEFCom2014) [8] are carried out.
This gives us the possibility to test the usefulness of the refined MLN approach.
To test the usefulness of this framework, the article uses the case study of birdwatching, which demonstrates all of the above categories of impacts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com