English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present CROP (Central Roundish Object Painter), which identifies andpaints the object at the center of an RGB image. Primarily CROP works forroundish fruits in various illumination conditions, but surprisingly, it couldalso deal with images of other organic or inorganic materials, or ones byoptical and electron microscopes, although CROP was trained solely by 172images of fruits. The method involves image segmentation by deep learning, andthe architecture of the neural network is a deeper version of the originalU-Net. This technique could provide us with a means of automatically collectingstatistical data of fruit growth in farms. As an example, we describe ourexperiment of processing 510 time series photos automatically to collect thedata on the size and the position of the target fruit. Our trained neuralnetwork CROP and the above automatic programs are available on GitHub withuser-friendly interface programs.

Central object segmentation by deep learning for fruits and other roundish objects