I. Usage
Automated detection for various rice types (polished, brown, glutinous, etc.) and black rice's appearance quality indicators, capable of multi-parameter and batch automated analysis.
II. Main Technical Specifications
1Optical resolution4800×9600、A4Extended dual light source color scanner for imaging. Transparent scanning area.30 cm×20 cm, Small pixel size0.0053mm ×0.0026 mm。
2Can automatically measure and analyze in one operation30gAbove rice samples' chalkiness/Rate, broken rice rate, and ultra-broken rice rate, whole grain rice quantity, whole grain rice rate, national standard grade for directly detecting rice transparency, yellow grain rice, rice color yellowness index, and rice brightness measurement, impurity content, off-type grains, imperfect grains (immature grains), as well as glutinous rice's black rice rate, disease spot or yellowing rate. Additionally, it can automatically analyze the rice crack rate and brown rice germ rate.
3Automatically measure the area, length, width, aspect ratio, roundness, and equivalent diameter (length measurement error) of each particle≤±0.05mmLength-to-width ratio measurement error≤±0.05Reproducibility Error≤±0.02Whole grain rice rate, broken grain rate measurement error≤±1.0Reproducibility Error≤±0.25）。
4Automatically measure and analyze in one go30gThe above black rice samples' blackness level, black rice ratio, whole black rice ratio, broken rice ratio, and fine broken rice ratio all meet the requirements.NY/T 832-2004Relevant testing indicators for these items in the standard.
5Available for large-scale automatic analysis, processing, and output of results. In compliance with national standards.GB/T1350Rice grainsGB/T17891Rice orGB1354-2018Rice, Ministry of Agriculture's New Standards [Rice]NY/T2334-2013Rice grain type classification determinationLS/T6116-2016Grain Industry Standard RiceLS/T 3247—2017、GB/T 35881-2018Grain and Oil Inspection In correspondence with the standards such as the image analysis method for determining the content of yellow grain rice, the quality ratio and grain count ratio of various indicators are tested.
6Features automatic learning and recognition capabilities, capable of automatically separating stuck rice grains, and can perform automatic classification analysis.
7All analysis images, distribution maps, and result data can be saved, with analysis outputs to:ExcelTables that output analysis mark charts, as well as arranged charts and measurement charts based on width, length, area, etc.
8Sample barcodes, electronic scalesRS232Data software interface. Range of grains for compatibility testing.0.25-20mmAutomatic counting accuracy≥99After interactive correction, the accuracy rate reaches100。
9The instrument is supported by a cloud platform, allowing analysis data to be saved to the cloud for easy access anytime, anywhere.
Section 3: Standard Configuration
1Rice Appearance Quality Inspection Analyzer System SoftwareUPlates and software locks1Set
2Optical Resolution4800×9600、A4Extended dual-light color scanner1Tai
3Rice spreader1Payment
