no code implementations • 23 May 2018 • Xuan-Yu Wang, Wen-Xuan Liao, Dong An, Yao-Guang Wei
In our study, the first attempt to design a high-accurate identification model of maize haploid seeds from diploid ones based on optimum waveband selection of the LSTM-CNN algorithm is realized via deep learning and hyperspectral imaging technology, with accuracy reaching 97% in the determining optimum waveband of 1367. 6-1526. 4nm.
no code implementations • 30 May 2018 • Wen-Xuan Liao, Xuan-Yu Wang, Dong An, Yao-Guang Wei
The experimental results show that, CNN model which is pre-trained by visible light image database can be applied to the near-infrared hyperspectral imaging-based identification of maize seeds, and high accurate identification rate can be achieved.