Developing C-LSTM model for evaluating moisture content of carrot slices during drying

References

• Liu, C. ; Pirozzi, A. ; Ferrari, G. ; Vorobiev, E. ; Grimi, N. Effects of Pulsed Electric Fields on Vacuum Drying and Quality Characteristics of Dried Carrot. Food Bioprocess Technol. 2020, 13 , 45–52. DOI: 10.1007/s11947-019-02364-1.
   Web of Science ®Google Scholar
• Liu, Y. ; Pu, H. ; Sun, D. Hyperspectral Imaging Technique for Evaluating Food Quality and Safety during Various Processes: A Review of Recent Applications. Trends. Food Sci. Technol. 2017, 69 , 25–35. DOI: 10.1016/j.tifs.2017.08.013.
   Web of Science ®Google Scholar
• Li, L. ; Zhang, M. ; Song, X. ; Wang, W. ; Bhandari, B. Changes in Unfrozen Water Content and Dielectric Properties during Pulse Vacuum Osmotic Dehydration to Improve Microwave Freeze-Drying Characteristics of Chinese Yam. J. Sci. Food Agric. 2019, 99 , 6572–6581. DOI: 10.1002/jsfa.9938.
   PubMed Web of Science ®Google Scholar
• Wang, R. ; Han, F. ; Jin, Y. ; Wu, W. F. Correlation between Moisture Content and Machine Vision Image Characteristics of Corn Kernels. Int. J. Food Prop. 2020, 23 , 319–328. DOI: 10.1080/10942912.2020.1720715.
   Web of Science ®Google Scholar
• Huang, H. ; Hu, X. ; Tian, J. ; Chen, P. ; Huang, D. Multigranularity Cascade Forest Algorithm Based on Hyperspectral Imaging to Detect Moisture Content in Daqu. J. Food Eng. 2021, 44 , 1–12. DOI: 10.1111/jfpe.13633.
   Web of Science ®Google Scholar
• Sun, J. ; Shi, X. ; Zhang, H. ; Xia, L. ; Guo, Y. ; Sun, X. Detection of Moisture Content in Peanut Kernels Using Hyperspectral Imaging Technology Coupled with Chemometrics. J. Food Eng. 2019, 42 , e13263. DOI: 10.1111/jfpe.13263.
   Web of Science ®Google Scholar
• Pu, Y. Y. ; Zhao, M. ; O’Donnell, C. ; Sun, D.-W. Nondestructive Quality Evaluation of Banana Slices during Microwave Vacuum Drying Using Spectral and Imaging Techniques. Dry. Technol. 2018, 36 , 1542–1553. DOI: 10.1080/07373937.2017.1415929.
   Web of Science ®Google Scholar
• Huang, M. ; Wang, Q. ; Zhang, M. ; Zhu, Q. B. Prediction of Color and Moisture Content for Vegetable Soybean during Drying Using Hyperspectral Imaging Technology. J. Food Eng. 2014, 128 , 24–30. DOI: 10.1016/j.jfoodeng.2013.12.008.
   Web of Science ®Google Scholar
• Mayr, S. ; Beć, K. B. ; Grabska, J. ; Wiedemair, V. ; Pürgy, V. ; Popp, M. A. ; Bonn, G. K. ; Huck, C. W. Challenging Handheld NIR Spectrometers with Moisture Analysis in Plant Matrices: Performance of PLSR vs. GPR vs. ANN Modelling. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2021, 249 , 119342. DOI: 10.1016/j.saa.2020.119342.
   PubMed Web of Science ®Google Scholar
• Pu, Y. Y. ; Sun, D. W. Combined Hot-Air and Microwave-Vacuum Drying for Improving Drying Uniformity of Mango Slices Based on Hyperspectral Imaging Visualisation of Moisture Content Distribution. Biosyst. Eng. 2017, 156 , 108–119. DOI: 10.1016/j.biosystemseng.2017.01.006.
   Web of Science ®Google Scholar
• Yang, Q. ; Sun, D. W. ; Cheng, W. Development of Simplified Models for Nondestructive Hyperspectral Imaging Monitoring of TVB-N Contents in Cured Meat during Drying Process. J. Food Eng. 2017, 192 , 53–60. DOI: 10.1016/j.jfoodeng.2016.07.015.
   Web of Science ®Google Scholar
• Wu, D. ; Chen, X. J. ; He, Y. Application of Multispectral Image Texture to Discriminating Tea Categories Based on DCT and LS-SVM. Spectrosc. Spect. Anal. 2009, 29 , 1382–1385. DOI: 10.3964/j.issn.1000-0593(2009)05-1382-04.
   Web of Science ®Google Scholar
• Zhang, W. W. ; Zhu, Q. B. ; Huang, M. ; Guo, Y. ; Qin, J. Detection and Classification of Potato Defects Using Multispectral Imaging System Based on Single Shot Method. Food Anal. Methods. 2019, 12 , 2920–2929. DOI: 10.1007/s12161-019-01654-w.
   Web of Science ®Google Scholar
• Ma, J. ; Sun, D. W. ; Pu, H. ; Wei, Q. ; Wang, X. Protein Content Evaluation of Processed Pork Meats Based on a Novel Single Shot (Snapshot) Hyperspectral Imaging Sensor. J. Food Eng. 2019, 240 , 207–213. DOI: 10.1016/j.jfoodeng.2018.07.032.
   Web of Science ®Google Scholar
• Mohammadi-Moghaddam, T. ; Razavi, S. M. A. ; Taghizadeh, M. ; Pradhan, B. ; Sazgarnia, A. ; Shaker-Ardekani, A. Hyperspectral Imaging as an Effective Tool for Prediction the Moisture Content and Textural Characteristics of Roasted Pistachio Kernels. Food Measure. 2018, 12 , 1493–1502. DOI: 10.1007/s11694-018-9764-x.
   Web of Science ®Google Scholar
• Huang, H. ; Hu, X. ; Tian, J. ; Jiang, X. ; Luo, H. ; Huang, D. Rapid Detection of the Reducing Sugar and Amino Acid Nitrogen Contents of Daqu Based on Hyperspectral Imaging. J. Food Compos. Anal. 2021, 101 , 103970. DOI: 10.1016/j.jfca.2021.103970.
   Web of Science ®Google Scholar
• Lin, X. ; Xu, J. L. ; Sun, D. W. Comparison of Moisture Uniformity between Microwave-Vacuum and Hot-Air Dried Ginger Slices Using Hyperspectral Information Combined with Semivariogram. Dry. Technol. 2021, 39 , 1044–1058. DOI: 10.1080/07373937.2020.1741006.
   Web of Science ®Google Scholar
• Huang, G. ; Hu, H. C-RNN: A Fine-Grained Language Model for Image Captioning. Neural Process. Lett. 2019, 49 , 683–691. DOI: 10.1007/s11063-018-9836-2.
   Web of Science ®Google Scholar
• Liu, X. ; Wang, W. ; Liang, W. ; Li, Y. Speed up the Training of Neural Machine Translation. Neural Process. Lett. 2020, 51 , 231–249. DOI: 10.1007/s11063-019-10084-y.
   Web of Science ®Google Scholar
• Abd El-Moneim, S. ; Nassar, M. A. ; Dessouky, M. I. ; Ismail, N. A. ; El-Fishawy, A. S. ; Abd El-Samie, F. E. Text-Independent Speaker Recognition Using LSTM-RNN and Speech Enhancement. Multimed. Tools Appl. 2020, 79 , 24013–24028. DOI: 10.1007/s11042-019-08293-7.
   Web of Science ®Google Scholar
• Bengio, Y. ; Simard, P. ; Frasconi, P. Learning Long-Term Dependencies with Gradient Descent is Difficult. IEEE Trans. Neural Netw. 1994, 5 , 157–166. DOI: 10.1109/72.279181.
   PubMed Web of Science ®Google Scholar
• Apolo-Apolo, O. E. ; Martinez-Guanter, J. ; Egea, G. ; Raja, P. ; Perez-Ruiz, M. Deep Learning Techniques for Estimation of the Yield and Size of Citrus Fruits Using a UAV. Eur. J. Agron. 2020, 115 , 126030. DOI: 10.1016/j.eja.2020.126030.
   Web of Science ®Google Scholar
• Peng, Y. ; Kondo, N. ; Fujiura, T. ; Suzuki, T. ; Ouma, S. ; Wulandari; Yoshioka, H. ; Itoyama, E. Dam Behavior Patterns in Japanese Black Beef Cattle Prior to Calving: Automated Detection Using LSTM-RNN. Comput. Electron. Agric. 2020, 169 , 105178. DOI: 10.1016/j.compag.2019.105178.
   Web of Science ®Google Scholar
• Zhou, X. ; Wang, S. Recent Developments in Radio Frequency Drying of Food and Agricultural Products: A Review. Dry. Technol. 2019, 37 , 271–286. DOI: 10.1080/07373937.2018.1452255.
   Web of Science ®Google Scholar
• Zhang, M. ; Jiang, H. ; Lim, R. X. Recent Developments in Microwave-Assisted Drying of Vegetables, Fruits, and Aquatic Products-Drying Kinetics and Quality Considerations. Dry. Technol. 2010, 28 , 1307–1316. DOI: 10.1080/07373937.2010.524591.
   Web of Science ®Google Scholar
• Ran, X. L. ; Zhang, M. ; Wang, Y. ; Liu, Y. A Comparative Study of Three Drying Methods on Drying Time and Physicochemical Properties of Chicken Powder. Dry. Technol. 2019, 37 , 373–386. DOI: 10.1080/07373937.2018.1458734.
   Web of Science ®Google Scholar
• Xia, C. ; Yang, S. ; Huang, M. ; Zhu, Q. B. ; Guo, Y. ; Qin, J. W. Maize Seed Classification Using Hyperspectral Image Coupled with Multi-Linear Discriminant Analysis. Infrared Phys. Techn. 2019, 103 , 103077. DOI: 10.1016/j.infrared.2019.103077.
   Web of Science ®Google Scholar
• Kamruzzaman, M. ; Makino, Y. ; Oshita, S. Rapid and Non-Destructive Detection of Chicken Adulteration in Minced Beef Using Visible near-Infrared Hyperspectral Imaging and Machine Learning. J. Food. Eng. 2016, 170 , 8–15. DOI: 10.1016/j.jfoodeng.2015.08.023.
   Web of Science ®Google Scholar
• Yu, P. ; Huang, M. ; Zhang, M. ; Zhu, Q. ; B; Qin, J. W. Rapid Detection of Moisture Content and Shrinkage Ratio of Dried Carrot Slices by Using a Multispectral Imaging System. Infrared. Phys. Techn 2020, 108 , 103361. DOI: 10.1016/j.infrared.2020.103361.
   Web of Science ®Google Scholar
• Marshall, M. G. ; Metaxas, A. C. Radio Frequency Assisted Heat Pump Drying of Crushed Brick. Appl. Therm. Eng. 1999, 19 , 375–388. DOI: 10.1016/S1359-4311(98)00058-1.
   Web of Science ®Google Scholar
• Jiang, H. ; Zhang, M. ; Mujumdar, A. S. ; Lim, R. X. Comparison of the Effect of Microwave Freeze Drying and Microwave Vacuum Drying upon the Process and Quality Characteristics of Potato/Banana Re-Structured Chips. Int. J. Food Sci. Tech. 2011, 46 , 570–576. DOI: 10.1111/j.1365-2621.2010.02523.x.
   Web of Science ®Google Scholar
• Baysal, T. ; Icier, F. ; Ersus, S. ; Yildiz, H. Effects of Microwave and Infrared Drying on the Quality of Carrot and Garlic. Eur. Food Res. Technol. 2003, 218 , 68–73. DOI: 10.1007/s00217-003-0791-3.
   Web of Science ®Google Scholar
• Wei, Y. ; Wu, F. ; Xu, J. ; Sha, J. ; Zhao, Z. ; He, Y. ; Li, X. Visual Detection of the Moisture Content of Tea Leaves with Hyperspectral Imaging Technology. J. Food Eng. 2019, 248 , 89–96. DOI: 10.1016/j.jfoodeng.2019.01.004.
   Web of Science ®Google Scholar