Sign In |Help & Support
ALL SECTORS
  • ALL SECTORS
  • GB(National Standard)
  • CB(Shipping)
  • CECS(Engineering Construction)
  • CJ(Urban Construction)
  • CY(News and Publication)
  • DB(Provincial Standard)
  • DL(Electricity & Power)
  • DZ(Geology & Mineralogy)
  • FZ(Spinning & Textile)
  • GA(Public Security)
  • HB(Aviation)
  • HG(Chemical Industry)
  • HJ(Environmental Protection)
  • JB(Machinery)
  • JC(Building Materials)
  • JG(Building & Construction)
  • JJ(Metering)
  • JT(Highway & Transportation)
  • LY(Forestry)
  • MT(Coal)
  • NB(Energy)
  • NY(Agriculture)
  • QB(Light Industry)
  • QC(Automobile & Vehicle)
  • QJ(Aerospace)
  • SH(Petrochemical)
  • SJ(Electronics)
  • SL(Water Resources)
  • SN(Commodity Inspection)
  • SY(Oil & Gas)
  • TB(Railway & Train)
  • YB(Ferrous Metallurgy)
  • YC(Tobacco)
  • YD(Telecommunication)
  • YY(Medical Device)
Database: 365,228(8 Aug 2026)
image analysis method paddy image analysis method introduction gb/t image analysis whole polished rice rate image analysis technology bamboo strips get time electric-driven diesel locomotives
GB/T 35865-2018 in English

GB/T 35865-2018 in English

VALID

Inspection 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
Price(USD): $100.00
$97.00
Standard No: GB/T 35865-2018
Document status: VALID
Title in English: Inspection of grain and oils—Determinination of head rice yield of paddy—Image analysis method
Title in Chinese: 粮油检验 稻谷整精米率测定 图像分析法
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 1~3 business days
Issued on: 2018-02-06
Implemented on: 2018-09-01
ICS Classification: 67.060-Cereals, pulses and derived products
Chinese Classification: B20-Cereal crop and forage crop in general
Professional Classification: GB-National Standard
Related Keywords: image analysis method
paddy image analysis method introduction gb/t
image analysis
whole polished rice rate
image analysis technology
Related Topics: image analysis
grain and oil
Paint Analysis Femtosecond Detection
Paint Analysis Femtosecond Detection
Paint Analysis Femtosecond Detection
Analysis of essential oils
Calibration analysis
Finished rice rate
Essential oil composition testing
Inspection rice milling machine
Essential oil composition testing
Inspecting rice polishing rate rice polishing machine
Grain and Oil Inspection and Analysis
Rice Polishing Machine
Rice milling machine
Rice milling rate and polished rice
Rice Polishing Machine
Polished rice and whole rice
Paddy polished rice rate
Polished rice rate and polished rice rate
polished rice rate polished rice rate
Indica Rice Rice Finishing Rate
Four-fifths of polished rice
Rice polishing machine
What is the general rate of polished rice
Milling rate inspection
Whole polished rice rate inspection
Rice polishing machine inspects paddy
How does rice milling machine inspect paddy
Polished rice rate + whole polished rice rate
Polished rice rate and whole polished rice rate
Test Method Definition
The rapidity of rice milling rate
Whole polished rice rate polished rice
GBT35865
GB/T 35865-2018
Steps for testing pesticides in rice
Inspection method for rice polishing rate
Rice moisture detection method
First-class rice grain
Rice milling machine measuring rice rate technology
Methods for detecting toxins in rice
Rice yield inspection method

《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

  1. Equipment selection: Select rice appearance quality tester that meets the standard requirements to ensure that its accuracy meets the requirements of GB/T 35865.
  2. Staff training: Conduct standardized training for operators to ensure the correct use of instruments and understanding of the testing process.
  3. Data management: Establish a test data management system to facilitate subsequent quality traceability and analysis.
  4. Regular calibration: According to standard requirements, calibrate the instrument regularly to ensure measurement accuracy.

Sample only — not a preview of GB/T 35865-2018
Page: 1 / 0
100%

Loading PDF document...

Error loading PDF. Please make sure the file is valid and try again.

We also recommend