zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-453Research ArticleСтатьиНЕРАЗРУШАЮЩАЯ ИДЕНТИФИКАЦИЯ СОРТОВ ПРОСА НА ОСНОВЕ ТЕХНОЛОГИИ ГИПЕРСПЕКТРАЛЬНОЙ ВИЗУАЛИЗАЦИИNONDESTRUCTIVE IDENTIFICATION OF MILLET VARIETIES USING HYPERSPECTRAL IMAGING TECHNOLOGYWangX.WangX.
Тайгу, 030801
Taigu, 030801
LiZ.LiZ.
Тайгу, 030801
Taigu, 030801
lizhiweitong@163.comZhengD.ZhengD.
Тайгу, 030801
Taigu, 030801
zhengdecong@126.comWangW.WangW.
Тайгу, 030801
Taigu, 030801
Аграрный университет ШаньсиCollege of Engineering, Shanxi Agricultural University2020130320208716471Copyright © Wang X., Li Z., Zheng D., Wang W., 20202020Wang X., Li Z., Zheng D., Wang W.Wang X., Li Z., Zheng D., Wang W.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/453гиперспектральная визуализацияпросоконволюционная рекуррентная нейронная сетьмеханизм вниманияhyperspectral imagingmilletconvolutional recurrent neural networkattention mechanismThis work was supported by grants from the National Key Research and Development Program of China (2017YFD0701501), General Program of National Natural Science Foundation of ShanXi Province (201701D121099), and Science and Technology Innovation Fund of Shanxi Agricultural University (2017YJ12).This work was supported by grants from the National Key Research and Development Program of China (2017YFD0701501), General Program of National Natural Science Foundation of ShanXi Province (201701D121099), and Science and Technology Innovation Fund of Shanxi Agricultural University (2017YJ12).ReferencesX. M. Diao, R. H. Cheng, Sci. Agric. Sin., 50, 4469–4474 (2017).X. M. Diao, R. H. Cheng, Sci. Agric. Sin., 50, 4469–4474 (2017).X. Ke, M. Z. Du, J. Image Graphics, 21, 24–38 (2016).X. Ke, M. Z. Du, J. Image Graphics, 21, 24–38 (2016).A. M. Rady, D. E. Guyer, W. Kirk, I. R. Donis-González, J. Food Eng., 135, 11–25 (2014).A. M. Rady, D. E. Guyer, W. Kirk, I. R. Donis-González, J. Food Eng., 135, 11–25 (2014).M. A. Teena, A. Manickavasagan, L. Ravikanth, D. S. Jayas, J. Stored Prod. Res., 59, 306–313 (2014).M. A. Teena, A. Manickavasagan, L. Ravikanth, D. S. Jayas, J. Stored Prod. Res., 59, 306–313 (2014).Q. Ding, Z. X. Shu, H. Y. Zhao, C. H. Yin, Y. Cao, Grain Storage, 46, 30–35 (2017).Q. Ding, Z. X. Shu, H. Y. Zhao, C. H. Yin, Y. Cao, Grain Storage, 46, 30–35 (2017).X. Wu, W. Z. Zhang, J. F. Lu, Z. J. Qiu, Y. He, Spectrosc. Spectr. Anal., 36, 511–514 (2016).X. Wu, W. Z. Zhang, J. F. Lu, Z. J. Qiu, Y. He, Spectrosc. Spectr. Anal., 36, 511–514 (2016).X. Q. Deng, Q. B. Zhu, M. Huang, Laser Optoelectron. Progr., 52, 128–134 (2015).X. Q. Deng, Q. B. Zhu, M. Huang, Laser Optoelectron. Progr., 52, 128–134 (2015).C. C. Yu, L. Zhou, X. Wang, J. Z. Wu, Q. Liu, Food Sci., 38, 283–287 (2017).C. C. Yu, L. Zhou, X. Wang, J. Z. Wu, Q. Liu, Food Sci., 38, 283–287 (2017).A. Ambrose, L. M. Kandpal, M. S. Kim, W. H. Lee, B. K. Cho, Infrared Phys. Technol., 75, 173–179 (2016).A. Ambrose, L. M. Kandpal, M. S. Kim, W. H. Lee, B. K. Cho, Infrared Phys. Technol., 75, 173–179 (2016).M. I. A. P. Zamri, F. Cordova, A. S. M. Khairuddin, N. Mokhtar, R. Yusof, Comput. Electron. Agric., 124, 227–233 (2016).M. I. A. P. Zamri, F. Cordova, A. S. M. Khairuddin, N. Mokhtar, R. Yusof, Comput. Electron. Agric., 124, 227–233 (2016).B. Zhao, X. L. Li, X. Q. Lu, Z. G. Wang, Neurocomputing, 322, 47–57 (2018).B. Zhao, X. L. Li, X. Q. Lu, Z. G. Wang, Neurocomputing, 322, 47–57 (2018).A. J. Smola, B. Schȍlkopf, State Comput., 14, 199–222 (2004).A. J. Smola, B. Schȍlkopf, State Comput., 14, 199–222 (2004).X. J. Guo, L. Chen, C. Q. Shen, Measurement, 93, 490–502 (2016).X. J. Guo, L. Chen, C. Q. Shen, Measurement, 93, 490–502 (2016).Y. Z. Ji, H. J. Zhang, Q. M. Jonathan Wu, Neurocomputing, 322, 130–140 (2018).Y. Z. Ji, H. J. Zhang, Q. M. Jonathan Wu, Neurocomputing, 322, 130–140 (2018).A. K. Bhunia, A. Konwer, A. K. Bhunia, A. Bhowmick, P. P. Roy, U. Pal, Pattern Recogn., 85, 172–184 (2019).A. K. Bhunia, A. Konwer, A. K. Bhunia, A. Bhowmick, P. P. Roy, U. Pal, Pattern Recogn., 85, 172–184 (2019).
The authors declare that there are no conflicts of interest present.