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

China is a large agricultural country, shouldering the heavy responsibility of agricultural production, facing great pressure and challenges under the influence of geological disasters. Frequent agricultural geological disasters have a serious impact on people’s agricultural production and life. The complex geological structure of agricultural production areas, especially the wide distribution and large number of regional fault structures, especially the lack of popularization of geological disaster knowledge among rural residents, is also an important cause of geological disasters. Fault interpretation is the core of complex structure interpretation. The efficiency and degree of interpretation directly affect the progress of agroecological hazard risk assessment.

Fault Structure Interpretation Based on Deep Learning—Risk Assessment of Agricultural Geological Disaster