Quality grading of Hanwoo (Korean native cattle breed) sub-images using convolutional neural network

목차 (Table of Contents)

• Abstract
• Introduction
• Materials and Methods
• Results and Discussion
• Conclusion
• References

참고문헌 (Reference)

1 Mohanty SP, "Using deep learning for image-based plant disease detection" 7 : 1419-, 2016

2 Xie A, "Rapid detection of frozen pork quality without thawing by Vis-NIR hyperspectral imaging technique" 139 : 208-215, 2015

3 Greiner SP, "Prediction of retail product weight and percentage using ultrasound and carcass measurements in beef cattle" 81 : 1736-1742, 2003

4 Sun X, "Prediction of pork loin quality using online computer vision system and artificial intelligence model" 140 : 72-77, 2018

5 Dyrmann M, "Plant species classification using deep convolutional neural network" 151 : 72-80, 2016

6 Barbon DF, "NIR hyperspectral imaging as non-destructive evaluation tool for the recognition of fresh and frozen–thawed porcine longissimus dorsi muscles" 18 : 226-236, 2013

7 Wu X, "Mapping of TBARS distribution in frozen-thawed port using NIR hyperspectral imaging" 113 : 92-96, 2016

8 Park J, "Lens distortion correction using ideal image coordinates" 55 : 987-991, 2009

9 Kvam J, "In vivo prediction of intramuscular fat using ultrasound and deep learning" 142 : 521-523, 2017

10 Russakovsky O, "Imagenet large scale visual recognition challenge" 115 : 211-252, 2015

11 Krizhevsky A, "Imagenet classification with deep convolutional neural networks" 1097-1105, 2012

12 이승환, "Hanwoo cattle: origin, domestication, breeding strategies and genomic selection" 한국축산학회 56 (56): 1-8, 2014

13 Yanai K, "Food image recognition using deep convolutional network with pre-training and fine-tuning" 1-6, 2015

14 Kwon KD, "Feasibility study of convolutional neural network for beef quality grade" 156-, 2019

15 Platter WJ, "Effects of marbling and shear force on consumers' willingness to pay for beef strip loin steaks" 83 : 890-899, 2005

16 Srivastava N, "Dropout : A simple way to prevent neural networks from overfitting" 15 : 1929-1958, 2014

17 Lin J, "Distortion measurement of CCD imaging system with short focal length and largefield objective" 43 : 1137-1144, 2005

18 Barbon AP, "Development of a flexible computer vision system for marbling classification" 142 : 536-544, 2017

19 Glorot X, "Deep sparse rectifier neural networks" 315-323, 2011

20 LeCun Y, "Deep learning" 521 : 436-444, 2015

21 강태훈, "Contribution analysis of carcass traits and seasonal effect on auction price for Hanwoo steers" 농업과학연구소 46 (46): 461-469, 2019

22 Pu H, "Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis" 99 : 81-88, 2015

23 Takafumi Gotoh, "Characteristics and Health Benefit of Highly Marbled Wagyu and Hanwoo Beef" 한국축산식품학회 36 (36): 709-718, 2016

24 Weng J, "Camera calibration with distortion models and accuracy evaluation" 14 : 965-980, 1992

25 Ioffe S, "Batch normalization : Accelerating deep network training by reducing internal covariate shift"

26 Ma J, "Application of Vis–NIR hyperspectral imaging in classification between fresh and frozen-thawed pork Longissimus dorsi muscles" 50 : 10-18, 2015

27 이현정, "Analysis of low-marbled Hanwoo cow meat aged with different dry-aging methods" 아세아·태평양축산학회 30 (30): 1733-1738, 2017

28 Farrow RL, "An exploratory observational study to develop an improved method for quantifying beef carcass salable meat yield" 82 : 143-150, 2009

29 Niu XX, "A novel hybrid CNN–SVM classifier for recognizing handwritten digits" 45 : 1318-1325, 2012

30 Zhang Z, "A flexible new technique for camera calibration" 22 : 1330-1334, 2000