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Image Search Results
Journal: PLoS ONE
Article Title: Parameters setting of Frequency Converter PI regulation to ensure the vacuum of the milking process
doi: 10.1371/journal.pone.0253427
Figure Lengend Snippet: System model in Matlab / Simulink 2014a.
Article Snippet: The purpose is to verify the mathematical models compiled in
Techniques:
Journal: PLoS ONE
Article Title: Parameters setting of Frequency Converter PI regulation to ensure the vacuum of the milking process
doi: 10.1371/journal.pone.0253427
Figure Lengend Snippet: System model in Matlab / Simulink 2014a.
Article Snippet: The setting of amplifying components (P) and integrating time (I) on the real system are chosen based on simulations compiled in the Matlab
Techniques:
Journal: Frontiers in Plant Science
Article Title: High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography
doi: 10.3389/fpls.2020.601475
Figure Lengend Snippet: 3DPheno-Seed&Fruit software interface with wheat data. (A) The main interface. (B) Example of histogram and correlation plots incorporated in the lower-middle of the interface.
Article Snippet: All the CT image analysis pipelines were written in MATLAB 2014a (MathWorks, United States) and packaged into the
Techniques: Software
Journal: Frontiers in Plant Science
Article Title: High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography
doi: 10.3389/fpls.2020.601475
Figure Lengend Snippet: The summary of external morphological phenotypes of soybean, wheat, peanut, pine nut, and pistachio nut seeds extracted from X-ray CT images using the 3DPheno-Seed&Fruit software.
Article Snippet: All the CT image analysis pipelines were written in MATLAB 2014a (MathWorks, United States) and packaged into the
Techniques: Software
Journal: Frontiers in Plant Science
Article Title: High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography
doi: 10.3389/fpls.2020.601475
Figure Lengend Snippet: The fruit and seed phenotypes of draft Russian almond extracted from X-ray computed tomography images using the 3DPheno-Seed&Fruit software.
Article Snippet: All the CT image analysis pipelines were written in MATLAB 2014a (MathWorks, United States) and packaged into the
Techniques: Computed Tomography, Software
Journal: Frontiers in Plant Science
Article Title: High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography
doi: 10.3389/fpls.2020.601475
Figure Lengend Snippet: Comparison between the 3DPheno-Seed&Fruit and manually measured phenotypes of seeds using the simple linear regression. (A) soybean; (B) wheat. Each point represents individual seeds. Coefficient of determination ( R 2 ) and number of observations ( N ) are shown in individual scatter plots.
Article Snippet: All the CT image analysis pipelines were written in MATLAB 2014a (MathWorks, United States) and packaged into the
Techniques:
Journal: Frontiers in Plant Science
Article Title: High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography
doi: 10.3389/fpls.2020.601475
Figure Lengend Snippet: Comparison analysis results between 3DPheno-Seed&Fruit and manual measurements for soybean and wheat seed phenotypes.
Article Snippet: All the CT image analysis pipelines were written in MATLAB 2014a (MathWorks, United States) and packaged into the
Techniques: