Maize Haploid Identification Using Hyperspectral Imaging and Dual-Branch CNN
2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS)(2023)
摘要
Haploid breeding technology is an important technology in modern crop improvement and genetic engineering, which can shorten maize breeding periods and enhance breeding efficiency. Haploid identification is a key process in this breeding technology. In this paper, a hyperspectral imaging system with a spectral range of 866.4-1701.0 nm was used for nondestructive identification of maize haploid seeds. To improve the accuracy of identifying haploids, a dual-branch convolutional neural network (DB-CNN) fusing spatial-spectral information is proposed. The experimental results show that DBCNN obviously is superior to several existing methods and obtains 99.00% overall accuracy. Compared with the traditional methods, it can fully extract the effective information in the spatial and spectral domains and has a stronger discriminative ability.
更多查看译文
关键词
haploid identification,hyperspctral imaging,convolutional neural network,information fusion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要