AI-powered precision grading for rice quality assessment
The National Grain Tech Rice Quality Analyzer is an AI-powered software solution designed to automate the quality evaluation of rice samples. Using image processing and machine learning algorithms, it analyzes grain images captured on a jet-black background to determine key parameters like grain length, width, chalkiness, and damage ratio.
To enable automated, precise, and data-driven analysis of rice samples—minimizing human error and ensuring standardized grading for the grain industry.
Captures and processes rice sample images with a single click.
Detects and classifies grains based on shape, size, and color parameters.
Supports both 10g and 100g grain tests for flexible sample analysis.
Generates detailed PDF reports with grain size, type, and classification data.
Analyze multiple samples simultaneously for faster throughput.
Simple and intuitive UI requiring minimal technical knowledge.
Captures and preprocesses high-resolution rice images for accurate detection.
Applies ML algorithms for grain segmentation, measurement, and classification.
Generates detailed and summarized PDF reports of analyzed samples.
Displays original and processed images with highlighted grain boundaries.
Windows 10 or later
Minimum 8 GB
2.5 GB free disk space
The Rice Quality Analyzer is ideal for rice grading, export quality control, automated inspection in rice mills, and agricultural research programs.