Weed seeds classification based on PCANet deep learning baseline

@article{Xinshao2015WeedSC,
  title={Weed seeds classification based on PCANet deep learning baseline},
  author={Wang Xinshao and Cai Cheng},
  journal={2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)},
  year={2015},
  pages={408-415}
}
There are a large number of various kinds of weeds in agriculture. Weeds have a great impact on the development of agricultural production and agricultural economy. The reproduction and spread of weeds are mainly dependent on weed seeds. So we want to find an efficient algorithm with robust and accurate classification of weed seeds, which has an important practical value and economic significance. PCA Network has been applied to image feature extraction and achieved fantastic effects. Here we… CONTINUE READING