Author:
Yang Jiao,Ma Xiaodan,Guan Haiou,Yang Chen,Zhang Yifei,Li Guibin,Li Zesong
Subject
Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference31 articles.
1. Corn seed variety recognition model combining hyperspectral pixel level information and CNN [J];Wang;Journal of Remote Sensing.,2021
2. Machine learning approach for the classification of corn seed using hybrid features[J];Ali;Int. J. Food Prop.,2020
3. Corn silage quality index: An index combining milk yield, silage nutritional and fermentation parameters [J];Tharangani;Anim. Feed Sci. Technol.,2021
4. Corn seed variety classification based on hyperspectral reflectance imaging and deep convolutional neural network [J];Zhang;J. Food Meas. Charact.,2021
5. C. Zhang, Y.Y. Zhao, T.Y. Yan, X.L. Bai, Q.L. Xiao, P. Gao, M. Li, W. Huang, Y.D. Bao, Y. He, F. Liu, Application of near-infrared hyperspectral imaging for variety recognition of coated corn seeds with deep learning [J], Infrared Physics & Technology. 2020, 111: 103550, https://doi.org/10.C.1016/j.infrared.2020.103550.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献