scholarly journals Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection

2021 ◽  
Vol 35 (3) ◽  
pp. 229-243
Author(s):  
Ilkay Cinar ◽  
Murat Koklu
Keyword(s):  
Computer Vision ◽  
Quality Inspection ◽  
Rice Varieties ◽  
Physical Features

scholarly journals Recent Advances in Microfluidic Devices for Contamination Detection and Quality Inspection of Milk

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 558
Author(s):  
Hwee-Yeong Ng ◽  
Wen-Chin Lee ◽  
Chia-Te Kung ◽  
Lung-Chih Li ◽  
Chien-Te Lee ◽  
...  
Keyword(s):  
Foodborne Pathogens ◽  
Human Life ◽  
Microfluidic Devices ◽  
Quality Inspection ◽  
Milk Samples ◽  
Sample Preconcentration ◽  
Sample Extraction ◽  
Microfluidic Analysis ◽  
Sample Separation

Milk is a necessity for human life. However, it is susceptible to contamination and adulteration. Microfluidic analysis devices have attracted significant attention for the high-throughput quality inspection and contaminant analysis of milk samples in recent years. This review describes the major proposals presented in the literature for the pretreatment, contaminant detection, and quality inspection of milk samples using microfluidic lab-on-a-chip and lab-on-paper platforms in the past five years. The review focuses on the sample separation, sample extraction, and sample preconcentration/amplification steps of the pretreatment process and the determination of aflatoxins, antibiotics, drugs, melamine, and foodborne pathogens in the detection process. Recent proposals for the general quality inspection of milk samples, including the viscosity and presence of adulteration, are also discussed. The review concludes with a brief perspective on the challenges facing the future development of microfluidic devices for the analysis of milk samples in the coming years.

scholarly journals 240 Enhancing beef production and quality using big data analytics and computer vision techniques

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 124-125
Author(s):  
Guilherme J Rosa ◽  
Vera C Aiken ◽  
Arthur Fernandes ◽  
Joao R Dorea
Keyword(s):  
Computer Vision ◽  
Beef Cattle ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Live Weight ◽  
Multiple Sources ◽  
Optimal Harvest ◽  
Beef Cattle Production ◽  
Data Driven Decisions

Abstract In this presentation we will discuss our current research on computer vision techniques for optimized management of feed bunks and prediction of live weight in beef cattle. The combination of these two techniques allows not only an enhanced nutritional management in feedlots, but also the determination of economically optimal harvest time for maximized returns. In addition, we will discuss computational and data analytics strategies for integration and analysis of large datasets from multiple sources, including operational farm data, weather and economics, for aiding data-driven decisions to improve beef cattle production.

Drill holes deflection determination for small diameter bits in wood-based materials

BioResources ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 3808-3814
Author(s):  
Patryk Maciej Król
Keyword(s):  
Computer Vision ◽  
Medium Density Fiberboard ◽  
Small Diameter ◽  
Automatic Measurement ◽  
Medium Density ◽  
Research Attention ◽  
High Class ◽  
Drill Holes ◽  
Made In

The growing interest in wood accessories has focused scientific research attention on wood cutting with small diameter tools. A problem that may arise when drilling wood is the phenomenon of wandering – when the hole is not made in the designed place. The difficulty in studying small diameter drill holes (0.5 mm to 0.9 mm) is due to the difficulty of automatic measurement. The development of an appropriate methodology may allow for the observation of this phenomenon without the need for high-class hardware and expensive software. This article presents the results of tests carried out on nearly 500 samples made of various wood-based materials (high-density fiberboard (HDF), medium-density fiberboard (MDF), chipboard, and plywood) in terms of the usefulness of the OpenCV computer vision library for the determination of wandering.

Determination of Zygosity by Questionnaire and Physical Features Comparison in Chinese Adult Twins

2006 ◽  
Vol 9 (2) ◽  
pp. 266-271 ◽  
Author(s):  
Wenjing Gao ◽  
Liming Li ◽  
Weihua Cao ◽  
Siyan Zhan ◽  
Jun Lv ◽  
...  
Keyword(s):  
Stepwise Logistic Regression ◽  
Limited Information ◽  
Stepwise Logistic Regression Analysis ◽  
Chinese Adult ◽  
Discriminating Power ◽  
Parsimonious Model ◽  
The Moment ◽  
Adult Twins ◽  
Physical Features

AbstractThis study reports on the determination of zygosity in Chinese adult twins by simple questionnaire and physical features comparison. The subjects were 511 twin pairs from two cities and their town areas, consisting of 371 monozygotic (MZ) and 140 same-sex dizygotic (DZ) pairs, identified by ABO blood group and multiplex polymerase chain reaction of several polymorphic short tandem repeat markers. The twins themselves responded to 8 questionnaire items, 4 items on twin similarity, and 4 items on the frequency of mistaking one twin for another by parents, relatives, teachers and strangers when they were 6 to 13 years old. Research assistants responded to 20 items regarding twins' physical features at the moment of interview. A parsimonious model established using stepwise logistic regression analysis of the 28 items showed that the total accuracy of zygosity diagnosis was 90.1%. The accuracy was 89.2% when using only the items dealing with the confusion of twins and 85.4% using only similarity. In the questionnaire, ‘facial appearance’, ‘mistaken by teachers’ and ‘mistaken by strangers’ had stronger discriminating power between MZ and DZ twins. Two physical features — ‘eyelid’ and ‘middigital hair’ — were informative to some extent. There was no statistically significant sex and area difference in the validity of such questionnaire and physical features comparison-based classification. In conclusion, questionnaire-based zygosity assessment in this Chinese adult twin sample could still be regarded as a valid and valuable classification method. Physical features comparison, however, could only provide limited information for zygosity determination.

Indexing of diffraction patterns for determination of crystal orientations

2020 ◽  
Vol 76 (6) ◽  
pp. 719-734
Author(s):  
Adam Morawiec
Keyword(s):  
Computer Vision ◽  
Computer Science ◽  
Reciprocal Lattice ◽  
General Description ◽  
Indexing Methods ◽  
Research Fields ◽  
Underlying Principle ◽  
Star Identification ◽  
Diffraction Patterns

The task of determining the orientations of crystals is usually performed by indexing reflections detected on diffraction patterns. The well known underlying principle of indexing methods is universal: they are based on matching experimental scattering vectors to some vectors of the reciprocal lattice. Despite this, the standard attitude has been to devise algorithms applicable to patterns of a particular type. This paper provides a broader perspective. A general approach to indexing of diffraction patterns of various types is presented. References are made to formally similar problems in other research fields, e.g. in computational geometry, computer science, computer vision or star identification. Besides a general description of available methods, concrete algorithms are presented in detail and their applicability to patterns of various types is demonstrated; a program based on these algorithms is shown to index Kikuchi patterns, Kossel patterns and Laue patterns, among others.

Potential Applications of Computer Vision in Quality Inspection of Rice: A Review

2015 ◽  
Vol 7 (3) ◽  
pp. 321-345 ◽  
Author(s):  
Hemad Zareiforoush ◽  
Saeid Minaei ◽  
Mohammad Reza Alizadeh ◽  
Ahmad Banakar
Keyword(s):  
Computer Vision ◽  
Quality Inspection ◽  
Potential Applications

Determination and Ratio of Ferulic Acid and Gastrodin in Xiongma Decoction Extract by Different Extraction Process

2014 ◽  
Vol 955-959 ◽  
pp. 740-743 ◽  
Author(s):  
Lin Liu ◽  
Yue Ting Liu ◽  
Ju Huo ◽  
Zhao Ying
Keyword(s):  
Ferulic Acid ◽  
Extraction Method ◽  
Mobile Phase ◽  
Acetic Acid Solution ◽  
Extraction Process ◽  
New Drugs ◽  
Quality Inspection ◽  
Ethanol Extraction ◽  
Main Effect

Objective: The determination and ratio of ferulic acid and gastrodin in Xiongma Decoction extract by different extraction process were compared, to provide scientific research basis on creating new drugs, controlling the quality combination of modern Compound Chinese, determining the main effect and compatibility. Methods: Chuanxiong and Tianma were extracted by different extraction method such as the boiling method and ethanol extraction by different concentrations to make ​​Xiongma Decoction. The content of ferulic acid and gastrodin were determination by HPLC to make Xiongma Decoction and their ratio was calculated. Chromatographic conditions of ferulic acid: mobile phase: methanol-0.01 % acetic acid solution (30:70, V/V), the detection wavelength: 310nm; chromatographic conditions of Gastrodin: mobile phase: acetonitrile-0.05 % phosphoric acid (3:97, V/V), detection wavelength: 220nm. Results: The determination of ferulic acid was 0.976mg • ml-1, gastrodin was 1.586mg • ml-1, the ratio of ferulic acid and gastrodin was1:1.6 in boiling method; while the determination of ferulic acid was 6.08mg • ml-1, gastrodin was 3.57mg • ml-1, the ratio was 1.7:1 in ethanol extraction. Conclusion: There are different determination and ratio, when there is different extraction process in the same prescription. This may bring about changes the main effect in prescription. This suggests that the ratio of the main active ingredient should be included in the quality inspection, when preparation process of the traditional recipe was changed.

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