GB/T 35865-2018 in English
VALIDInspection of grain and oils—Determinination of head rice yield of paddy—Image analysis method
- Issued on:2018-02-06
- Implemented on:2018-09-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$97.00
《GB/T 35865-2018粮油检验 稻谷整精米率测定 图像分析法》由TC270(全国粮油标准化技术委员会)归口,TC270SC1(全国粮油标准化技术委员会原粮及制品分会)执行,主管部门为国家粮食和物资储备局。
Introduction
GB/T 35865—2018 Standard Overview
GB/T 35865—2018 "Image Analysis Method for Determining Whole Polished Rice Rate in Grain and Oil Inspection" is the first national standard in my country to use image analysis technology to determine the whole polished rice rate of rice. The standard was proposed by the State Administration of Grain, managed by the National Technical Committee for Grain and Oil Standardization, and officially released in 2018.
Background of Standard Formulation
Traditional manual detection methods have problems such as low efficiency and large errors, especially in large-scale grain procurement and processing, which urgently need a fast and accurate detection method. Image analysis, as an efficient and non-destructive detection technology, has become an ideal choice to solve this problem.
Technical principles and implementation process
| Steps | Operation content | Key parameters |
|---|---|---|
| Sample preparation | Make the clean paddy into Grade 3 rice in accordance with GB/T1354. | - Sample mass: ≤20g - Preparation accuracy: meet Grade 3 rice standards |
| Image acquisition | Collect sample images through a rice appearance quality detector (Instrument name). | - Resolution: High- Acquisition speed: Fast |
| Image analysis | The system automatically identifies and calculates the mass fraction of whole polished rice in rice (π). | - Accuracy: grain length error ≤0.2mm, mass fraction error ≤1.5% |
Comparative analysis of standard frameworks
Comparison with traditional methods
Compared with traditional manual detection methods, image analysis has the following advantages:
- Improved efficiency: Automated detection greatly shortens detection time.
- High accuracy: Human errors are reduced through digital analysis.
- Wide application range: Applicable to quality control of large-scale grain processing enterprises.
Implementation suggestions
- Equipment selection: Select rice appearance quality tester that meets the standard requirements to ensure that its accuracy meets the requirements of GB/T 35865.
- Staff training: Conduct standardized training for operators to ensure the correct use of instruments and understanding of the testing process.
- Data management: Establish a test data management system to facilitate subsequent quality traceability and analysis.
- Regular calibration: According to standard requirements, calibrate the instrument regularly to ensure measurement accuracy.

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