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

In the context of global climate change, the agricultural sector is one of the most responsive. This study focused on changes detected in temperature requirements for maize crops based on growing season length and the growing degree day indices in Central Romania (Cluj County). Daily air temperature data over the period 1981–2013 was derived from two databases with different spatial resolutions: Agri4Cast Resources Portal and ROmanian ClimAtic Dataset. Further analysis, performed for the entire period and three 10/13-y sub-periods, focused on calculating and mapping the area of arable land for each suitability zone. The main findings were: there were differences up to 16% in the area of suitability zones when switching from the results obtained based on the coarse spatial resolution to the improved one; the differences were larger for the shorter and more recent sub-periods than for the entire period or for the first decade; and there was considerable improvement of thermal conditions for maize crops in the focus region over the considered period—suitability zone I was not detected for the first sub-period and became dominant for the last one. It can be concluded that using or developing a better spatial resolution database is very important for maximizing the profitability of agriculture.

sustainability

Refining the Spatial Scale for Maize Crop Agro-Climatological Suitability Conditions in a Region with Complex Topography towards a Smart and Sustainable Agriculture. Case Study: Central Romania (Cluj County)