Image – Rice Grain Scanner: a three-dimensional fully automated assessment of grain size and quality traits
Rubens Marschalek, Mauricio Cesar Silva, Samuel Batista dos Santos, Johnny Ricardo Manke, Carlos Bieging, Geovani Porto, Ester Wickert and Alexander de Andrade
Abstract: The Image is a scanner developed as a grain classifier for quality control at the rice industry based on Brazilian official norms. It orders the dehulled grains ensuring that each grain would pass individually, in free fall, while the grain is analysed from different sides, covering its whole surface. It ensures a precise three-dimensional measurement of grain size, chalkiness, defects of the grain, milling quality, given out a total of 39 traits/classes/
defects/values, which are sent to a excel Microsoft spreadsheet. This is managed through a digital platform, which analysis routine and layout were developed and designed by Selgron and Epagri to fit the needs of research. The scanner and its software reach outputs that enhance rice breeding efficiency for grain quality, performing it faster, precisely and with a high-throughput phenotyping than ever before, especially interesting in very early breeding generations.