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/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Accurate monitoring of leaves and plants is a necessity for research on plant physiology. To aid this biological research, we propose a new active contour method to track individual leaves in chlorophyll fluorescence time laps sequences. The proposed active contour algorithm is developed such that it can handle sequences with low temporal resolution. This paper proposes a novel optimization method which incorporates prior knowledge about the plant shape. Tests show that the proposed framework outperforms state of the art tracking methods

Multiple leaf tracking using computer vision methods with shape constraints