Table of Contents
Horticulturae, Volume 5, Issue 1 (March 2019)
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
- You may sign up for e-mail alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story (view full-size image) The quality index of citrus (Brix/acid ratio) was assessed with fluorescence spectroscopy using [...] Read more. The quality index of citrus (Brix/acid ratio) was assessed with fluorescence spectroscopy using deep learning. A deep neural network for the regression was constructed and the quantitative estimation could be carried out accurately. Bayesian optimization was conducted to choose hyper-parameters in the deep neural network. Due to this optimization, the determination of the parameters, such as depth and number of filters, could be completed automatically and appropriately. This regression method using deep neural networks offers precise quantitative estimation of fruit quality, and can be applied to a wide variety of agricultural fields. View this paper