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A method for non-destructive grading of apple chips

A technology of apple chips and crisps, which is applied in the direction of material analysis, material analysis through optical means, instruments, etc., can solve the problems that have not been reported in the research, and achieve the effects of improving classification efficiency, rapid detection, and making up for time-consuming

Active Publication Date: 2019-01-11
NANJING AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the research on fruit and vegetable quality detection and grading using computer vision technology is relatively mature at home and abroad, there are no reports on the application of computer vision systems to deep-processed products such as fruit and vegetable chips.

Method used

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  • A method for non-destructive grading of apple chips
  • A method for non-destructive grading of apple chips
  • A method for non-destructive grading of apple chips

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Embodiment Construction

[0065] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0066] like figure 1 As shown, a computer vision-based apple crisp grading method, the adopted computer vision system is composed of a computer, a camera, a light source, a bracket and a base assembly;

[0067] The computer model is Dell Optiplex 7010, 3.4GHz, memory 8G, graphics card 256M GeForce GT240;

[0068] A Sony camera with camera model NEX-6, automatic white balance, aperture f / 9.0, exposure time 1 / 50s, exposure compensation -2.0, ISO 100, focal length 30mm;

[0069] The light source consists of two LED lights, each with a power of 12W and a length of 33cm, and the brightness can be adjusted manually;

[0070] The base is composed of a 30cm×30cm×1.1cm metal plate, and there are screw holes on the base to adjust and fix the bracket;

[0071] The brackets are 6 pieces of 35cm stainless steel brackets, one end is threaded and the other end has sc...

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Abstract

The invention relates to a lossless grading method for quality of crisp apple chips through the crisp apple chip external quality grading standard and the computer vision technique, and belongs to the novel crisp apple chip quality lossless grading technology. Crisp chip images are acquired through a computer vision device and processed, size, shape, color and grain feature parameters are extracted, and the feature parameters are optimized. The mode recognition technology is utilized for analyzing various grades of crisp apple chip image features, and therefore lossless grading of the crisp apple chips is achieved. The method is easy and convenient to operate, fast in detection and accurate in grading, and the defects that a traditional grading mode consumes time and labor, and is high in cost, likely to be influenced by subjective factors and large in mechanical damage are overcome.

Description

technical field [0001] The invention relates to a five-level and three-level external quality grading standard for apple crisps and a nondestructive grading method for apple crisps based on computer vision technology, belonging to the technical field of nondestructive testing of agricultural product storage and processing. Background technique [0002] Apple crisps are one of the deep-finished products of apples, which are rarely seen in the domestic market. It maintains the nutritional components and fresh flavor of apples, has a crisp taste, plump shape and even puffing, which can meet consumers' demand for crisp food that is nutritious, convenient, natural, low in fat, and high in dietary fiber. Achieving effective grading of apple crisps is the first step in improving the quality of apple crisps. At present, my country has not yet issued the external quality grade specification standard for apple crisps. [0003] At present, the traditional methods of fruit and vegetab...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84
CPCG01N21/84G01N2021/8466
Inventor 潘磊庆魏康丽屠康王振杰孙柯肖慧赵保民陈飞
Owner NANJING AGRICULTURAL UNIVERSITY
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