Description
Developed for use by breeders, rice traders, and millers alike, the PaddyCheck 6800 system enables the automated and objective analysis and characterization of paddy rice in only 5 minutes, with no time-consuming de-husking of grains required. Weighing just 3.5 kg and powered by a 4-cell lithium-ion battery, the PaddyCheck is not only powerful, but also compact, ensuring a fast and reproducible analysis of paddy rice at every stage of the process.
By using the PaddyCheck to collect objective data automatically, breeders and traders can improve the continuous work of optimizing the value of rice early in both processes. The PaddyCheck’s fast and intuitive workflow, compliant with AACC Method 61-10.01, ensures that users need little to no training to operate the analyzer. After collecting a representative sample using an instrument such as Perten’s SPD (Sequential Precision Divider) 4200, users simply select the appropriate analysis profile on the PaddyCheck’s touchscreen, and then pour their sample into the PaddyCheck. During the 5 minute analysis, three different image scans are taken to characterize the paddy rice kernel:
Polarized translucency image to provide information about the internal structure such as internal fissures/cracks, translucency, and insect damage;
Visual image used to measure various grain attributes such as length, width, color and more;
A texture measurement of each single grain is performed to determine thickness and resistance to force.
Combinations of this collected data can then be used to model and predict complex rice attributes such as head rice yield (HRY), allowing sellers, buyers, and processors to obtain optimal value and set pricing based on a quantifiable, objective standard.
When combined with Singulator PLUS™ software, users can leverage powerful investigative tools to review PaddyCheck images, as well as texture data and next order information from the raw data. Singulator Plus software functionality includes:
Histograms: View histograms/ distribution of the various measurements such as broken by force, R,G,B color values, length, width, grain hardness, peak force, translucency units, immature kernels, and much, much more. Review visual, polarized images, and texture plots.
Data Export: Pick data to export to 3rd party data analysis and programs such as Excel, Matlab, etc. for prediction model development. Export images for AI/machine learning training datasets in combination with force measurements.
Custom Profile Development: Change or develop PaddyCheck embedded analysis profiles to configure profiles for download to the PaddyCheck hardware.
