The rice appearance quality tester is an intelligent device specifically designed to evaluate and analyze the appearance characteristics of rice. It is widely used in agricultural research, food processing, quality inspection, and trade circulation. By accurately measuring the physical characteristics of rice such as color, shape, transparency, cracks, and spots, it helps users fully understand the quality status of rice and ensure compliance with market standards and consumer expectations. This instrument combines advanced image processing technology and automation control technology to achieve efficient, accurate, and objective detection of rice appearance quality
The rice appearance quality tester is an intelligent device specifically designed to evaluate and analyze the appearance characteristics of rice. It is widely used in agricultural research, food processing, quality inspection, and trade circulation. By accurately measuring the physical characteristics of rice such as color, shape, transparency, cracks, and spots, it helps users fully understand the quality status of rice and ensure compliance with market standards and consumer expectations. This instrument combines advanced image processing technology and automation control technology to achieve efficient, accurate, and objective detection of rice appearance quality.
working principle
1. Sample preparation: Spread the rice sample to be tested evenly on a dedicated loading platform, ensuring that each grain of rice is clearly visible.
2. Image acquisition: Use high-resolution CCD or CMOS cameras to capture the overall image of the rice sample, while providing a stable and uniform lighting environment with LED light sources to achieve the best imaging effect.
3. Feature extraction: Pre process the collected images using built-in professional software (such as grayscale and denoising), and then apply algorithms such as edge detection and morphological operations to extract key feature information of rice grains, such as length, width, roundness, chalkiness, etc.
4. Defect recognition: Based on machine learning or deep learning models, automatically identify and classify various defects on the surface of rice grains, including but not limited to broken rice, belly white, heart white, yellow grains, mold, etc.
5. Data analysis: Based on international or national standards, calculate the specific values of various indicators and generate detailed testing reports, including statistical information such as mean, maximum/minimum values, and distribution.
6. Result display and output: The final result can be visually displayed to the user through a LCD screen, and some models also support print output or connection with a computer for data management.
Product Features
1. High precision detection: Using high-definition cameras and precise image processing algorithms to ensure the accuracy of each detection result.
2. Fast and efficient: The entire detection process can be completed in just a few minutes, greatly improving work efficiency, especially suitable for large-scale sample screening.
3. Multifunctionality: In addition to conventional inspections such as color, shape, and transparency, it can also be extended to identify various complex defects such as cracks and spots.
4. Intelligent analysis: Integrating advanced artificial intelligence technology, it can automatically learn the characteristics of different varieties of rice, continuously improving detection accuracy and reliability.
5. Easy to operate: The touch screen interface is friendly and intuitive, with simple and clear parameter settings. Ordinary employees can proficiently use it after a brief training.
6. Strong adaptability: Suitable for various types of rice (such as long grain rice, short grain rice, glutinous rice, etc.), and not affected by changes in environmental light.
7. Compliance with regulatory requirements: The design follows relevant specifications such as GMP/GLP and is suitable for strict supervision of the quality control process in the industry.
8. Easy maintenance: The modular structure facilitates disassembly, cleaning, and replacement of vulnerable parts, reducing downtime.
Application field
1. Agricultural research: Evaluate the appearance characteristics such as color, shape, and transparency of newly cultivated varieties to assist in crop improvement and planting structure adjustment.
2. Food industry: Quality monitoring of various links in the rice production process, from raw material screening to finished product packaging, to ensure consistency and stability of product quality.
3. Quality inspection: As a quality testing tool for enterprises, it ensures that products meet established standards, such as national standards, industry standards, or customer specific requirements.
4. Trade circulation: plays a key role in the process of rice procurement and sales, helping buyers and sellers reach a mutually agreed price agreement and avoiding disputes caused by quality issues.
5. Scientific research: Provide important experimental data support for fields such as food science and agriculture, and promote academic research and technological progress in related fields.
Product Parameters
| optical resolution | 4800×9600(A4 Extended Dual Light Source Color Scanner |
| Transparent scanning format | 30 cm×20 cm |
| Minimum pixel size | 0.0053mm ×0.0026 mm |
| Area, length diameter, short diameter, aspect ratio, roundness, equivalent diametermeasurement parameters |
| Length measurement error | ≤±0.05mm |
| Measurement error of aspect ratio | ≤±0.05 |
| Reproducibility error | ≤±0.02 |
| Whole rice rate and broken rice ratemeasurement parameters |
| measurement error | ≤±1.0% |
| Reproducibility error | ≤±0.25% |
| Simultaneous testing of seed size range | 0.25-20mm |
| Automatic counting accuracy | ≥99% |
| Standard Configuration | system software1 set of USB flash drive and software lock、optical resolutionOne 4800 × 9600, A4 extended dual light source color scanner、Rice paver1 pair
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