Rice Quality Detector Tester
Automatically analyze chalkiness, transparency, and grain quality indices across indica, japonica, glutinous, and specialty rice varieties via scanner imaging.
Louise Corscadden, PhD
Director of Science · ConductScience
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Key Specifications
Full details →- Model fit
- Configured during quote
- SKU family
- AGR-0052
- Sizing
- Model-specific dimensions confirmed from the selected configuration
- Ordering
- Quote-reviewed before fulfillment
- Category
- Agriculture & Food Science
- Build notes
- Confirm accessories, station layout, and support needs before purchase
The Rice Quality Detector is an automated imaging instrument designed to analyze and grade rice grain quality with precision and consistency. By capturing a high-resolution scan of the rice sample, the system processes grain images to extract a comprehensive set of quality indices — eliminating the subjectivity of manual visual inspection.
The instrument evaluates chalkiness across five distinct parameters: average chalky size, chalky grain number, chalky whiteness, chalky grain rate, and transparency across the entire sample. These metrics are the primary quality indicators rice breeders, millers, and food scientists use to compare and classify rice lots.
The detector supports a broad range of rice varieties, including indica, japonica, glutinous, silk seedling, special-purpose, and organic rice — making it suitable for breeding programs, post-harvest quality control, grain trading, and food science research.
For labs and facilities that require consistent, documentable rice quality assessment, this instrument delivers automated analysis in a single scan-to-report workflow.
Chalkiness Parameters Measured
- Average chalky size, chalky grain number, chalky whiteness, chalky grain rate, transparency (whole-sample analysis)
Supported Rice Varieties
- Indica rice, japonica rice, glutinous rice, silk seedling rice, special rice, organic rice
Image Acquisition Method
- Scanner-based grain imaging
Analysis Mode
- Automatic — quality indices generated from scanned image without manual measurement
What types of rice can this instrument analyze?
The detector supports a wide range of rice varieties, including indica rice, japonica rice, glutinous rice, silk seedling rice, special rice, and organic rice.
What chalkiness parameters does the instrument measure?
The instrument measures five chalkiness-related indices across the rice sample: average chalky size, chalky grain number, chalky whiteness, chalky grain rate, and transparency.
How does the instrument capture and process rice grain data?
The detector uses a scanner to obtain an image of the rice sample. Once the image is acquired, the system automatically analyzes and evaluates the quality indices — no manual measurement is required.
Is this instrument suitable for both research and quality-control applications?
Yes. Because it can analyze multiple rice types and automatically produce standardized quality indices, it is well suited for plant breeding programs, post-harvest evaluation, grain grading operations, and food science research.
Does the system require manual input to classify rice variety before analysis?
The instrument is designed to automatically analyze and evaluate the rice sample after the image is obtained, supporting a range of rice types within a single platform.
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