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Model:
HD-DM02
Introduction:
Rice Appearance Quality Analyzer measures grain area, length, width, length-width ratio, diameter and roundness of milled, brown and glutinous rice in batches. Used for rice quality grading, breeding selection, purchase inspection and research....







The HD-DM02 rice appearance quality analyzer automatically measures the area, length, width, length-to-width ratio, diameter and roundness of every grain. It provides accurate automatic detection of all appearance quality indices for every kind of rice (milled rice, brown rice, glutinous rice, etc.), and supports multi-parameter, batch-wise automatic analysis.
1. 1600 dpi resolution; imaging is performed with an A3 colour flatbed large-format scanner, and the reflective platen measures 304.8 mm × 431.8 mm.
2. In a single automatic pass the instrument measures and analyses one or more rice grains for: chalkiness degree and chalkiness rate, broken rice rate and small broken rice rate, head rice count, head rice rate, direct determination of the national-standard grade of rice transparency, yellow-coloured rice, rice whiteness, kernels of other varieties, unsound kernels (immature kernels) and crack rate. It also measures the shadow-rice rate of glutinous rice, the diseased-spot or yellowing rate, and the germ rate of brown rice.
3. Automatic measurement of the area, length, width, length-to-width ratio, diameter and roundness of every grain (length error ≤ ±0.05 mm; length-to-width ratio error ≤ ±0.05; reproducibility error ≤ ±0.02; head rice rate and broken rice rate error ≤ ±1.0% and reproducibility error ≤ ±0.25%).
4. In a single automatic pass the instrument measures and analyses one or more black rice grains for: blackness, black rice rate, whole black rice rate, broken rice rate and small broken rice rate, fully complying with the relevant indices of the NY/T 832-2004 standard.
5. Batch automatic analysis, processing and output of results. The measured indices correspond to GB/T 1350 (paddy), GB/T 17891 (high-quality paddy), GB 1354-2018 (rice), NY/T 2334-2013 (rice, new standard of the Ministry of Agriculture), LS/T 6116-2016 (classification and judgement of rice grain shape), LS/T 3247-2017 (grain industry standard: rice) and GB/T 35881-2018 (inspection of grain and oils — determination of yellow-coloured rice content in paddy by image analysis), and both the mass ratio and the grain-number ratio of each index are determined.
6. Automatic learning and recognition: touching rice grains and seeds are separated automatically and classified automatically for analysis.
7. All analysis images, distribution charts and result data can be saved; analysis results are exported to Excel, and marked analysis images can be output, together with arrangement charts and measurement charts sorted by width, length or area.
8. Sample barcode and electronic balance RS232 software interfaces are provided. Measurable seed range 0.25–20 mm; automatic grain-counting accuracy ≥ 99%, and 100% accuracy after interactive correction.
9. Cloud platform support: analysis data can be stored in the cloud and viewed at any time and anywhere.
10. Built-in bilingual Chinese/English display with one-key switching.
11. Determination method: dedicated processing software on a general-purpose computer.
12. Batch automatic analysis, processing and result output.
13. Screen recording function, so that the experimental process can be recorded and saved.
14. Environmental conditions: temperature 10–30 °C, relative humidity ≤ 85%, protected from strong light. The instrument should be placed on a stable workbench free from strong mechanical vibration and electromagnetic interference.
15. The software supports Windows 10 and above only.
| Item | Specification |
|---|---|
| Scanning element | CCD |
| Maximum document size | A3 |
| Interface | USB 2.0 |
| Resolution | 1600 dpi |
| Reflective platen | 304.8 mm × 431.8 mm |
| Light source | LED |
| Colour depth | 48 bit |
| Grayscale | 16 bit |
| Black and white | 1 bit |
| Scanning speed | Reflective, A3, colour, 200 dpi: 7 s per page |
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