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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Scientific forage management needs accurate measurement of Normalized Difference Vegetation Index (herein after NDVI). By comparing a time series of NDVI images are valuable for forage management. The authors have developed a methodology that possibly reduces the amount of fertilizer applied thus protecting the environment. This methodology uses an unmanned aerial vehicles (herein after UAVs) and Satellites. Comparing different periods of Satellite derived NDVI, the authors propose a methodology to quickly understand forage growing conditions and leads to economical fertilizer application rates. The possibilities of combining multispectral images and Satellite images are also discussed.

Developing a method for understanding pasture and forage crop conditions (Comparing Satellite obtained NDVI data with UAVs obtained data)