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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Due to the unreasonable fertilizer or some other combination of unpredictable factors, makes the flowers in the greenhouse to the disease, directly affect the production of our country the output of the flower. In order to avoid this kind of diseases affect other flowers in the greenhouse, need to be recognition and diagnosis, the priority is split and extract the disease spot. We Put forward a method that the Lab space is used to segment the image of the disease leaf of the orchid by adopting the Otsu the blade was divided, complete separation of normal area and disease area of the leaf , finally we restore the color images of disease spot. The test results show that the proposed method can accurately extract leaf disease spot area.

The Segmentation of Orchid Leaf Disease Spot Based On Lab Color Space and Otsu